Is there a link between liking a TV show and viewer age? (a) Find expected adults who dislike: 20.13. (b) Calculate χ2 test statistic: χ2=∑expected(observed−expected)2.
Practice: Probability and Distributions 1. Determine whether the following procedure results in a binomial distribution or a distribution that can be treated as binomial. If it is not binomial and cannot be treated as binomial, identify at least one requirement that is not satisfied.
a. In a Pew Research Center survey of 50 subjects, the ages of the respondents are recorded.
b. A basketball player who makes 71% of his free throws is asked to shoot free throws until he misses. The number of free throws attempted is recorded.
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JMODD8 4.2.004. Find the mean, median, and mode of the given set of raw data. (If more than one mode exists, separate your answers with commas. If an answer does not exist, enter DNE.) Need Help?
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The graph below shows the graphs of several normal distributions, labeled A,B, and C, on the same axis. Determine which normal distribution has the largest standard deviation. Select the correct answer below:
A
B
C
The histogram shows the starting salaries (rounded to the nearest thousand dollars) for college graduates based on a random sample of recent graduates. Determine whether the following statement is true or false according to the graph. More college graduates had starting salaries in the $61,000−$65,000 range than Starting Salaries of Recent College in the $46,000−$50,000 range. Choose the correct answer below.
A. False, because the bar for 61-65 has the same height as the bar for 46-50.
B. False, because the bar for 61-65 is shorter than the bar for 46-50.
C. True, because the sum of the heights of the first two bars in the graph is greater than the sum of the heights of the last two bars.
D. True, because the bar for 61-65 is taller than the bar for 46−50.
Suppose currency held outside banks is $230 billion, and M1 is $500 billion. Do we know for sure how much checkable deposits equal?
Yes, because to calculate checkable deposits, we simply need to add $230 billion to $500 billion.
Yes, because to calculate checkable deposits, we simply need to subtract $230 billion from $500 billion.
No, because to calculate checkable deposits, we also need to know the amount in traveler's checks.
No, because to calculate checkable deposits, we also need to know the amount in money market mutual funds.
1. We wish to improve yearling weight (YW) in our cow herd. h2 for WW=.42
mean of the selected bulls =1130lb
mean of all bulls =1097lb
mean of selected cows =820lb
mean of all cows =813lb
overall herd mean =955lb Calculate:
- Selection differential for:
o Males
- Females
- Overall
- Response to selection
- New herd mean for YW
\begin{enumerate}
\item An office manager wants to determine if there is a relationship between the number of hours each week employees exercise and the number of sick days that they take each year. The data for the number of hours of exercise and sick days is given as follows:
\begin{itemize}
\item Hours of exercise: 1.5, 3, 2, 3.5, 2, 3.5, 4, 4.5, 2.5
\item Sick days: 16, 5, 9, 4, 12, 3, 2, 2, 11
\end{itemize}
\item Find the correlation coefficient, r. Round values to the nearest thousandth.
\item Use the correlation coefficient and the scatter plot to determine if a relationship exists between these variables. Interpret this relationship.
\item Can it be determined that this relationship is a cause-and-effect relationship? Why or why not? Are there other reasons this relationship might exist? If so, list some of these reasons.
\end{enumerate}
The average production cost for major movies is 67 million dollars and the standard deviation is 21 million dollars. Assume the production cost distribution is normal. Suppose that 11 randomly selected major movies are researched. Answer the following questions. Give your answers in millions of dollars, not dollars. Round all answers to 4 decimal places where possible.
a. What is the distribution of X ? X∼N(□□ )
b. What is the distribution of xˉ?xˉ∼N(□ , □ )
c. For a single randomly selected movie, find the probability that this movie's production cost is between 68 and 71 million dollars. □
d. For the group of 11 movies, find the probability that the average production cost is between 68 and 71 million dollars. □
e. For part d), is the assumption of normal necessary?
Yes No
The average production cost for major movies is 67 million dollars and the standard deviation is 21 million dollars. Assume the production cost distribution is normal. Suppose that 11 randomly selected major movies are researched. Answer the following questions. Give your answers in millions of dollars, not dollars. Round all answers to 4 decimal places where possible.
a. What is the distribution of X ? X∼N( 67 □ 0 s)
□✓,
□ , □ 0
b. What is the distribution of xˉ?xˉ−N( 67 ,
c. For a single randomly selected movie, find the probability that this movie's production cost is between 68 and 71 million dollars. □
d. For the group of 11 movies, find the probability that the average production cost is between 68 and 71 million dollars. □
e. For part d), is the assumption of normal necessary? O Yes No
2. We wish to improve weaning weight (WW) in our cow herd. h2 for WW=.38
herd mean for WW=587lb
\% saved (males) = 1
\% saved (females) = 15
Standard deviation for WW = 23 lb
Calculate:
- Overall selection intensity
- Response to selection
- Generation interval for:
- Males
- Females
o Overall
- Generation interval
- Response per year Assume we keep our cows for 9 calf crops starting at 2 years of age and we use our bulls for 3 calf crops starting at 2 years of age.
Fill in the blank so that the resulting statement is true.
The measure of central tendency that is the data item in the middle of ranked, or ordered, data is called the . The measure of central tendency that is the data item in the middle of ranked, or ordered, data is called the □
Fill in the blank so that the resulting statement is true.
A data value that occurs most often in a data set is the measure of central tendency called the . A data value that occurs most often in a data set is the measure of central tendency called the □
ACCT 210 - Cost and Management Accounting
Cash Budgeting
Practice Question Venus Ltd decided to approached the bank for a short term loan for financing a new project. The bank requested a cash budget. The following table represents the financial dat a projected for the coming 6 months based on the previous year's operations, plus the incremental increase in revenue expected based on the new project. Financial data:
\begin{tabular}{|l|l|r|r|r|r|r|r|}
\hline & \multicolumn{1}{l|}{ July } & August & September & October & November & December \\
\hline Sales & 100,000 & 125,000 & 200,000 & 230,000 & 280,000 & 325,000 \\
\hline Purchases & 60,000 & 75,000 & 120,000 & 138,000 & 168,000 & 195,000 \\
\hline Expenses & 25,000 & 30,000 & 45,000 & 60,000 & 73,000 & 82,000 \\
\hline 4 & Taxation & 2,500 & 2,500 & 2,500 & 2,500 & 2,500 & 2,500 \\
\hline 15 & Loan Proceeds & 60,000 & & & & & \\
\hline 16 & Project Expenses & 30,000 & 30,000 & & & & \\
\hline 17 & Loan Interest & 500 & 500 & 500 & 500 & 500 & \\
\hline 18 & Loan Principal Payment & 10,000 & 10,000 & 10,000 & 10,000 & 10,000 & 10,000 \\
\hline
\end{tabular} Further information:
2180% of sales are received in the month of sale
2220% of sales are collected in the month after the sale. June sales were $200,000.
23 Purchases are paid for one month after the purchase is made. Purchases for June were $55,000.
24 Expenses are paid for in the month in which they are incurred.
25 Estimated monthly taxation charges are paid for at the end of every quarter.
26 Opening cash and cash equivalents balance is $50,000.
27 Loan principal and interest are payable monthly.
28 29 Required:
30 Prepare the Cash Budget for the 6 month period from July to December.
31
32
Confidence Intervals and Hypothesis Testing
Confidence interval for the population standard deviation The following data were randomly drawn from an approximately normal population.
48,50,55,62,66,69
Send data to calculator Based on these data, find a 90% confidence interval for the pepulation standard deviation. Then give its lower limit and upper limit.
Carry your intermediate computations to at least three decimal places. Round your answers to at least two decimal places. (If necessary, consult formulas.) Lower limit:
Upper limit:
Video: How to Find T-Value from a T-Table?
t-table.pdf □
What is the t value with a 95% confidence interval for the true population mean if the sample size n=23 ? (Please keep three decimal places)
t value = □
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3) According to a study done by the Pew Research Center, 39\% of adult Americans believe that marriage is now obsolete. Suppose a random sample of 500 adult Americans is asked whether marriage is obsolete. When calculating a probability, draw the graph of the normal curve and shade the appropriate area.
a. (3 points) Verify the three conditions for the distribution of the sample proportion to be normally distributed.
b. (1 point) Calculate the mean and standard deviation for the distribution of the sample proportion.
Page 3 of 4 Name: Score: /20 pts
c. (1 point) What is the probability that in a random sample of 500 adult Americans less than 38% believe that marriage is obsolete?
d. (1 point) What is the probability that in a random sample of 500 adult Americans between 40% and 45% believe that marriage is obsolete?
e. (1 point) Would it be unusual for a random sample of 500 adult Americans to result in 210 or more who believe marriage is obsolete? Show your work.
Give the degrees of freedom for the chi-square test based on the two-way table.
\begin{tabular}{l|llll|l}
\hline & D & E & F & G & Total \\
\hline A & 39 & 34 & 43 & 34 & 150 \\
B & 78 & 89 & 70 & 93 & 330 \\
C & 23 & 37 & 27 & 33 & 120 \\
\hline Total & 140 & 160 & 140 & 160 & 600 \\
\hline
\end{tabular} Degrees of freedom =□
\text{A graduate student majoring in linguistics is interested in studying the number of students in her college who are bilingual. Of the 2,489 students at the college, 466 of them are bilingual.} \text{If the graduate student conducts a study and samples 40 students at the college, use the graph below to determine the probability that 9 or fewer of them are bilingual.}
\begin{enumerate}
\item \text{Drag and move the blue dot to select the appropriate probability graph area from the four options on the left. (Note - there are four graphs available to choose from. Only select between less than, greater than, and area between graphs.)}
\item \text{Use the Central Limit Theorem to find p^ and q∧p.}
\item \text{Calculate the z-score for p^ and move the slider along the x-axis to the appropriate z-score.}
\item \text{The purple area under the curve represents the probability of the event occurring. Interpret the purple area under the curve.}
\end{enumerate} \text{Remember, do not round any values or change fractions to approximated decimals during calculations. Only round the calculated zscore to two places and all other final answers to three decimal places.} \text{Provide your answer below:}
p=□p^=□σp^=□z=□P(X≤9)=□
A coin collector sells III-Vth century Roman sesterces (a silver coin of ancient Rome) via an internet link. Her last week's sales are shown in the spreadsheet table below. (Hint: she sold each sesterce for \27.00)
\begin{tabular}{||c|c|c|c|}
\hline \mathbf{4} & A & B & C \\
\hline 1 & Week Day & \# sold & Amount (\$) \\
\hline 2 & Solis & 3 & 81 \\
\hline 3 & Lunae & 4 & 108 \\
\hline 4 & Martis & 2 & 54 \\
\hline 5 & Mercurii & 2 & 54 \\
\hline 6 & Iovis & 7 & 189 \\
\hline 7 & Veneris & 4 & 108 \\
\hline 8 & Saturni & 5 & 135 \\
\hline 9 & Total =$ & 27 & 729 \\
\hline & & & \\
\hline
\end{tabular} What formula is needed to calculate the amount, in dollars, she earned on Mercurii (latin for Wednesday)?
=27∗B5
=B5
sum(27:B5)
=sum(27:B5)
27∗ B5
A biologist is studying how water temperature affects feeding habits of a certain species of fish. She collects measurements from several days, collecting data on the water temperature and the quantity of live food the fish has consumed per day (in kg ). The data appear in the table.
\begin{tabular}{|l|l|l|l|l|l|l|l|l|l|l|l|}
\hline Temperature (∘C) & 15 & 34 & 26 & 15 & 20 & 22 & 35 & 19 & 31 & 25 & 30 \\
\hline Consumption rate (kg/day) & 0.1 & 1.7 & 0.7 & 0.2 & 0.6 & 0.5 & 1.6 & 0.4 & 1.4 & 0.6 & 0.8 \\
\hline
\end{tabular} Identify the independent and dependent variable.
1. En la siguiente tabla de se muestran los años de servicio de una muestra de 100 empleados de un banco. Completa la tabla como en los ejemplos de la guía. Luego, calcula la desviación estándar y la varianza.
\begin{tabular}{|c|c|}
\hline Años & N∘ Empleados \\
\hline 0−2 & 40 \\
\hline 3−5 & 25 \\
\hline 6−8 & 20 \\
\hline 9−11 & 10 \\
\hline 12−14 & 5 \\
\hline
\end{tabular}
Determine la media aritmética, la mediana y la moda de la siguiente serie de úmeros: 5,3,6,5,4,5,2,8,6,5,4,8,3,4,5,4,8,2,5,4. Las puntuaciones obtenidas por un grupo en una prueba han sido: 15, 13, 16, 15, 19,18,15,14,18. Determine la moda, la mediana y la media aritmética 4. Dada la siguiente tabla de frecuencias: Calcular la desviación estándar y la varianza.
\begin{tabular}{|c|c|c|}
\hline \multicolumn{2}{|c|}{ Inter vall } \\
\hline[10,15) & 12,5 & 3 \\
\hline[15,20) & 17,5 & 5 \\
\hline[20,25) & 22,5 & 7 \\
\hline[25,30) & 27,5 & 4 \\
\hline[30,35) & 32,5 & 2 \\
\hline \multicolumn{2}{|l|}{} & n=21 \\
\hline
\end{tabular}
MOTIVACIÓN
Se realizó una encuesta a un grupo de 26 personas, preguntándoles cuál era su lugar preferido para pasear en familia, por lo que respondieron:
Ahora, responde:
a. ¿Cuántos votos hay del zoológico como lugar preferido?
b. ¿Cuál fue el lugar que más votos tuvo como lugar preferido?
\begin{tabular}{|c|c|}
\hline & Lugares preferidos para pasear \\
\hline zoologico & \\
\hline parque & A 4 \\
\hline cine & Δ4ΔΔ \\
\hline circo & Δ a \\
\hline museo & A A A \\
\hline \multicolumn{2}{|l|}{codaΔ=1 voto} \\
\hline
\end{tabular}
1. Clasifica las siguientes variables en: cuantitativa (continua, discreto) o cualitativa (nominal, ordinal) 2. Realizamos un estudio para conocer el número de televisores que hay en cada vivienda en una determinada zona de la ciudad y obtenemos los siguientes datos:
1,1,2,2,2,2,0,0,4,3,2,3,4,3,4,1,1,1,2,0,3,4,2,2,44,2,1,4,1,1,1,2,2,2,2,1,1,1,2,2,1,1,3,3,1,1,2,2,1 Construye el diagrama de barras, histograma y circular
1. Clasifica las siguientes variables en: cuantitativa (continua, discreto) o cualitativa (nominal, ordinal) 2. Realizamos un estudio para conocer el número de televisores que hay en cada vivienda en una determinada zona de la ciudad y obtenemos los siguientes datos:
1,1,2,2,2,2,0,0,4,3,2,3,4,3,4,1,1,1,2,0,3,4,2,2,44,2,1,4,1,1,1,2,2,2,2,1,1,1,2,2,1,1,3,3,1,1,2,2,1 Construye el diagrama de barras, histograma y circular
Your flight has been delayed: At Denver International Airport, 82% of recent flights have arrived on time. A sample of 11 flights is studied. Round the probabilities to at least four decimal places. Part 1 of 4
(a) Find the probability that all 11 of the flights were on time.
1R×8C
Accessibility tab summary: Financial information Adam's corporation is presented in rows 2 to 17. 1
□
A
B
c
D
E
F 2 Adams Corporation evaluates divisional managers based on ROI. Operating results for the company's Northern Division for last year are given below:
3
\begin{tabular}{|l|r|}
\hline Sales & \\
\hline Variable expenses & $27,000,000 \\
\hline Contribution margin & 16,200,000 \\
\hline Fixed expenses & 10,800,000 \\
\hline Net operating income & 8,805,000 \\
\hline & $1,995,000 \\
\hline Divisional operating assets & \\
\hline
\end{tabular} 10 Divisional operating assets
11
12 The Northern Division has an opportunity to add a new product line as follows:
13
\begin{tabular}{|lr|}
\hline Required investment & $2,500,000 \\
Net operating income & $400,000 \\
\hline
\end{tabular} 14 Required investment
15
16
\begin{tabular}{|c|c|c|c|c|}
\hline \multirow[t]{2}{*}{Adams Corporation's minimum acceptable rate of return} & \multirow[t]{2}{*}{15\%} & & & \\
\hline & & & & \\
\hline Required: & & & & \\
\hline Compute the following: & & & & \\
\hline
\end{tabular} Compute the following:
(Use cells A4 to B17 from the given information to complete this question.)
```
23
24 1. Northern Division ROI for last year
25
26 2. Northern Division ROI if new product line is added
27
28 3. Determine whether the Northern Division manager will ACCEPT or
REJECT the new product line based on ROI.
29
30 4. Northern Division residual income for last year
31
325.Northern Division residual income if the new product line is added
33
``` 34 6. Determine whether the Northern Division manager will ACCEPT or REJECT the new product line based on residual income.
Suppose that 80% of all voters prefer Candidate A.
If 7 people are chosen at random for a poll, what is the probability that fewer than 5 of them favor Candidate A? Probability = □ (Please show your answer to 4 decimal places)
We say that the design of a study is biased if which of the following is true?
(2) A racial or sexual preference is suspected.
(b) Random placebos have been used.
(c) Certain outcomes are systematically favored.
(d) The correlation is greater than 1 or less than -1 .
(e) An observational study was used when an experiment would have been feasible.
5. A recent survey by a Canadian magazine on the contribution of universities to the economy was circulated to 394 people who the magazine decided "are the most likely to know how important universities are to the Canadian economy." Which of the following is the main problem with using these results to draw conclusions about the general public's perception?
(a) Insufficient attention to the placebo effect.
(b) X0 control group.
(c) Lack of random assignment.
(d) Lack of random selection.
(e) Response bias.
Here are some facts about units of volume.
\begin{tabular}{|c|c|c|}
\hline Unit & Symbol & Fact \\
\hline fluid ounce & fl oz & \\
\hline cup & c & 1c=8floz \\
\hline pint & pt & 1pt=2c \\
\hline quart & qt & 1qt=2pt \\
\hline gallon & gal & 1gal=4qt \\
\hline
\end{tabular} Fill in the blanks.
8pt7c=[[qt=□floz
The table shows how many cousins each of 30 students in Class A has.
\begin{tabular}{cc}
Number of cousins & Frequency \\
0 & 3 \\
1 & 7 \\
2 & 6 \\
3 & 11 \\
4 & 1 \\
5 & 2
\end{tabular} Write down the mode of the number of cousins.
(1 mark)
5
Submit Answer
The table shows information about the weekly earnings of 20 peop who work in a shop.
\begin{tabular}{|c|c|}
\hline Weekly earnings ( fx ) & Frequency \\
\hline 150<x⩽250 & 1 \\
\hline 250<x⩽350 & 11 \\
\hline 350<x⩽450 & 5 \\
\hline 450<x⩽550 & 0 \\
\hline 550<x⩽650 & 3 \\
\hline
\end{tabular} Work out an estimate for the mean of the weekly earnings.
The table gives information about the times taken by 80 people to run a race.
Time taken ( t minutes) 50<t≤6050<t≤7050<t≤8050<t≤9050<t≤10050<t≤110 Cumulative Frequency 153152667480 This information is shown on the cumulative frequency graph below. Use this graph to find an estimate for the median time taken.
9. Nach Angaben der Post erreichen 90% aller Inlandsbriefe den Empfänger am nächsten Tag. Johanna verschickt acht Einladungen zu ihrem Geburtstag. Mit welcher Wahrscheinlichkeit a) sind alle Briefe am nächsten Tag zugestellt?
b) sind mindestens sechs Briefe am nächsten Tag zugestellt?
The table gives information about the times taken by 80 people to run a race. Time taken ( t minutes) Cumulative Frequency
50<t≤6050<t≤7050<t≤8050<t≤9050<t≤10050<t≤110153152667480 This information is shown on the cumulative frequency graph below. Use this graph to find an estimate for the interquartile range of the times taken.
The table gives information about the times taken by 80 people to run a race. Time taken ( t minutes) Cumulative Frequency
50<t≤6050<t≤7050<t≤8050<t≤9050<t≤10050<t≤110153152667480 This information is shown on the cumulative frequency graph below. Use this graph to find an estimate for the interquartile range of the times taken.
The table gives information about the times taken by 80 people to run a race. Time taken ( t minutes) Cumulative Frequency
50<t≤6050<t≤7050<t≤8050<t≤9050<t≤10050<t≤110153152667480 This information is shown on the cumulative frequency graph below. Use this graph to find an estimate for the interquartile range of the times taken.
Joan measured the heights of students in four different classes. She drew a cumulative frequency graph and a box plot for each class. Match each cumulative frequency graph to its box plot.
(2 marks)
A=□
o B=□
- C=□8D=□
The weekly incomes, rounded to the nearest pound, of households on a certain street in Belfast are given below:
221248251255259263264272291297374 Calculate the mean and standard deviation of these weekly incomes. Give your answers to 3 significant figures.
(4 marks)
Q Mean, xˉ=□
0 Standard deviation, σx=□
The weekly incomes, rounded to the nearest pound, of households on a certain street in Belfast are given below:
221248251255259263264272291297374 Calculate the mean and standard deviation of these weekly incomes. Give your answers to 3 significant figures.
(4 marks)
Q Mean, xˉ=□
0 Standard deviation, σx=□
Simon plans to make gloves.
One morning, Simon decided to carry out a survey to find the mean hand span of people in Wales. He decided to sample systematically.
He decided to sample from the first 240 people who pass him in the street during the morning. He wanted to take 20 people's hand span measurements. Explain how Simon could use systematic sampling to obtain 20 measurements.
Simon plans to make gloves.
One morning, Simon decided to carry out a survey to find the mean hand span of people in Wales. He decided to sample systematically.
He decided to sample from the first 240 people who pass him in the street during the morning. He wanted to take 20 people's hand span measurements. Explain how Simon could use systematic sampling to obtain 20 measurements.
A group of students took some tests. A teacher is analysing the average mark for each student. Each student obtained a different average mark. For these average marks, the lower quartile is 24 , the median is 30 and the interquartile range (IQR) is 10 The three lowest average marks are 8,10 and 15.5 and the three highest average marks are 45, 52.5 and 56 The teacher defines an outlier to be a value that is either
more than 1.5× IQR below the lower quartile or more than 1.5× IQR above the upper quartile The outliers have been determined to be 8,52.5 and 56
On the grid below draw a box plot for these data, ignoring any outliers.
(3 marks)
A group of students took some tests. A teacher is analysing the average mark for each student. Each student obtained a different average mark. For these average marks, the lower quartile is 24 , the median is 30 and the interquartile range (IQR) is 10 The three lowest average marks are 8, 10 and 15.5 and the three highest average marks are 45, 52.5 and 56 The teacher defines an outlier to be a value that is either
more than 1.5× IQR below the lower quartile or more than 1.5× IQR above the upper quartile The outliers have been determined to be 8, 52.5 and 56
A box plot for these data is shown below. Two more students also took the tests. Their average marks, which were both less than 45 , are added to the data and the box plot redrawn. The median and the upper quartile are the same but the lower quartile is now 26 Redraw the box plot on the grid below, ignoring any outliers.
(3 marks)
22. In einer Sendung von 80 Batterien befinden sich 10 defekte. Mit welcher Wahrscheinlichkeit enthält eine Stichprobe von 5 Batterien genau eine defekte Batterie? höchstens 4,
The following map shows the job growth rates for each state in the US. Use the map to determine how many states had between 2.5% and 6.9% job growth. Job Growth By State
The grades on the second statistics test for Mrs. Sweeney's class are in the following list. Find the frequency distribution for the grades.
A,D,D,C,B,D,D,F,B,B,B,B,D,D,D,F,B,B,D,B,B Answer Grade A frequency =□ Grade B lequency =
Grade D frequency = □ Grade C frequency =□□□
You need to borrow money for gas, so you ask your mother and your sister. You can only borrow money from one of them. Before giving you money, they each say they will make you play a game. Your sister says she wants you to spin a spinner with two outcomes, blue and red, on it. She will give you $2 if the spinner lands on blue and $18 if the spinner lands on red. Your mother says she wants you to roll a six-sided die. She will give you $2 times the number that appears on the die. Determine the expected value of each game and decide which offer you should take.
A football club published on its website the number of entrance tickets sold in 2018 and in 2019.
30.
\begin{tabular}{|c|c|c|c|c|c|}
\hline & \multicolumn{3}{|l|}{Average number of tickets sold at the entrance door per game} & \multicolumn{2}{|l|}{Seasonal tickets} \\
\hline & Male & Female & Child & Male & Female \\
\hline 2018 & 4521 & 1254 & 759 & 1122 & 780 \\
\hline 2019 & 4668 & 1102 & 884 & 1088 & 794 \\
\hline
\end{tabular}
\begin{tabular}{|c|c|c|c|c|c|}
\hline & \multicolumn{3}{|l|}{Ticket revenue from selling them at the entrance door per game (\$)} & \multicolumn{2}{|l|}{Seasonal ticket revenue (\$)} \\
\hline & Male & Female & Child & Male & Female \\
\hline 2018 & 72336 & 16552.8 & 4402.2 & 78540 & 47970 \\
\hline 2019 & 79822.8 & 15428 & 4420 & 80512 & 47640 \\
\hline
\end{tabular} What is the average revenue ticket from selling them at the entrance door per game in 2019?
2. The random variable X has a distribution with density
g(x)=⎩⎨⎧08x31−24x0x<0x∈[0,2)x∈[2,8)x>8. Calculate EX,VarX, the skewness coefficient of X, and the kurtosis of X.
An unfair coin has probability 0.4 of landing heads. The coin is tossed five times. What is the probability that it lands heads at least once? Round the answer to four decimal places.
P( Lands heads at least once )=□
Below, n is the sample size, p is the population proportion and p^ is the sample proportion. Use the Central Limit Theorem and the 71−84 calculator to find the probability. Round the answer to at least four decimal places.
p=0.24P(p^<0.22)=□
A sample of size 23 will be drawn from a population with mean 6 and standard deviation 5 .
(a) Is it appropriate to use the normal distribution to find probabilities for xˉ ?
(b) If appropriate find the probability that xˉ will be greater than 4.
(c) If appropriate find the 20th percentile of xˉ.
It is appropriate to use the normal distribution to find probabilities for xˉ.
The probability that xˉ will be greater than 4 is □ The 20th percentile of xˉ is □.
It is not appropriate to use the normal distribution to find probabilities for xˉ.
Smartphones: A poll agency reports that 37% of teenagers aged 12−17 own smartphones. A random sample of 101 teenagers is drawn. Round your answers to at least four decimal places as needed. Part: 0/6 Part 1 of 6
(a) Find the mean μp^. The mean μp^ is 0.37 Part: 1/6 Part 2 of 6 Find the standard deviation σp^.
The standard deviation σp^ is □.
Part A: Ontario's Alpine Skiers
An alpine ski coach in Ontario wants insight on how alpine skiers from the province are performing in the Slalom, Giant Slalom, and Super G events in national competitions. A random sample of 74 Ontario alpine skiers who completed in the Canada Winter Games between 1983 and 2015 is selected. The following table summarizes the places in which alpine skiers finish in each of the three events. This table can be found in the Excel sheet Ontario and Quebec.
\begin{tabular}{|c|c|c|c|}
\hline & Place \#1 to.\#3 (Medals) & Place \#4 to \#10 & Remaining Places \\
\hline Slalom & 3 & 10 & 11 \\
\hline Giant Slalom & 5 & 9 & 16 \\
\hline Super G & 4 & 8 & 8 \\
\hline
\end{tabular}
(i) If an Chtarian alpine skier is chosen at random, what is the probability that they received a medal in their event?
DEIAILS
MY NOTES
SCOLALG7 2.4.032.MI. 1/100 Submissions Used
PREVIOUS ANSWERS A man is running around a circular track that is 200 m in circumference. An observer uses a stopwatch to record the runner's time at the end of each lap, obtaining the data in the following table.
\begin{tabular}{|c|c|}
\hline Time (s) & Distance (m.) \\
\hline 30 & 200 \\
65 & 400 \\
102 & 600 \\
140 & 800 \\
180 & 1000 \\
228 & 1200 \\
304 & 1400 \\
384 & 1600 \\
\hline
\end{tabular}
(a) What was the man's average speed (rate) between 65 s and 140 s ? (Round your answer to two decimal places.)
5.33 □m/s
(b) What was the man's average speed between 228 s and 384 s ? (Round your answer to two decimal places.)
□m/s
(c) Calculate the man's speed for each lap. Is he slowing down, speeding up, or neither?
slowing down
speeding up
neither
Interpreting calculator display: The following TI-84 Plus display presents the results of a hypothesis test.
```
Z-Test
\mu> > $5
z=2.872551059
P=.0020359269
\overline{x}}=48.7
n=71
``` Part: 0/5 Part 1 of 5 What are the null and alternate hypotheses?
H0:□H1:□=□□=□□<□μ□>□
Interpreting calculator display: The following TI-84 Plus display presents the results of a hypothesis test.
```
Z-Test
\mu> $45
z}=2.87255105
P=.0020359269
\}=48.7
n=71
``` Part: 0/5□ Part 1 of 5
What are the null and alternate hypotheses?
H0:μ=45H1:μ>45 □□1=1□μ□
0 lo
□
\% Part: 1/5 Part 2 of 5
What is the value of the test statistic? Enter the value to the full accuracy shown (do not round).
z=□
Interpreting calculator display: The following TI-84 Plus display presents the results of a hypothesis test.
\begin{tabular}{|l|}
\hline \multicolumn{1}{|c|}{ z-Test } \\
μ>45 \\
z=2.872551059 \\
P=.0020359269 \\
xˉ=48.75 \\
n=71
\end{tabular} Part: 0/5 Part 1 of 5 What are the null and alternate hypotheses?
H0:μ=45H1:μ>45□∞
do
탕 Part: 1/5 Part 2 of 5 What is the value of the test statistic? Enter the value to the full accuracy shown (do not round).
z=2.87255105□ Part: 2/5 Part 3 of 5 What is the P-value? Enter the value to the full accuracy shown (do not round).
P-value =□
Free dessert: In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150 . Following are the numbers of diners on a random sample of 12 days while the offer was in effect. Can you conclude that the mean number of diners decreased while the free dessert offer was in effect? Use the α=0.01 level of significance and the P-value method with the * Critical Values for the Student's t Distribution Table.
\begin{tabular}{llllll}
\hline 170 & 133 & 150 & 111 & 171 & 103 \\
101 & 110 & 133 & 179 & 151 & 112 \\
\hline
\end{tabular}
Send data to Excel Part: 0/6 Part 1 of 6 Following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied? Explain. The boxplot shows that there (Choose one) ∇ outliers.
The boxplot shows that there (Choose one) ∇ evidence of strong skewness.
We (Choose one) ∇ assume that the population is approximately normal.
It (Choose one) ∇ reasonable to assume that the conditions are satisfied.
Free dessert: In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150 . Following are the numbers of diners on a random sample of 12 days while the offer was in effect. Can you conclude that the mean number of diners decreased while the free dessert offer was in effect? Use the α=0.01 level of significance and the P-value method with the - −1 Critical Values for the Student's t Distribution Table.
\begin{tabular}{llllll}
\hline 170 & 133 & 150 & 111 & 171 & 103 \\
101 & 110 & 133 & 179 & 151 & 112 \\
\hline
\end{tabular}
Send dáta to Excel Part 1 of 6 Following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied? Explain. The boxplot shows that there □ outliers. The boxplot shows that there □ (Choose one) evidence of strong skewness.
We (Choose one)
□ assume that the population is approximately normal.
It □ (Choose one) reasonable to assume that the conditions are satisfied.
Part: 1 / 6
Part 2 of 6 State the appropriate null and alternate hypotheses.
H0:□H1:□ This hypothesis test is a □ (Choose one) test.
Free dessert: In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of diners on a random sample of 12 days while the offer was in effect. Can you conclude that the mean number of diners decreased while the free dessert offer was in effect? Use the α=0.01 level of significance and the P-value method with the Critical Values for the Student's t Distribution Table.
\begin{tabular}{llllll}
\hline 170 & 133 & 150 & 111 & 171 & 103 \\
101 & 110 & 133 & 179 & 151 & 112 \\
\hline
\end{tabular}
Send data to Excel Part 1 of 6 Following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfied? Explain. The boxplot shows that there are outliers.
The boxplot shows that there is no evidence of strong skewness. We can □ assume that the population is approximately normal. It □ reasonable to assume that the conditions are satisfied. Part 2 of 6 State the appropriate null and alternate hypotheses.
H0=μ=150H1:μ<150 This hypothesis test is a left-tailed
□ test.
5
Free dessert: In an attempt to increase business on Monday nights, a restaurant offers a free dessert with every dinner order. Before the offer, the mean number of dinner customers on Monday was 150. Following are the numbers of diners on a random sample of 12 days while the offer was in effect. Can you conclude that the mean number of diners decreased while the free dessert offer was in effect? Use the α=0.01 level of significance and the P-value method with the - Critical Values for the Student's t Distribution Table.
\begin{tabular}{llllll}
\hline 170 & 133 & 150 & 111 & 171 & 103 \\
101 & 110 & 133 & 179 & 151 & 112 \\
\hline
\end{tabular}
Send data to Excel
Part 1 of 6 Following is a boxplot for these data. Is it reasonable to assume that the conditions for performing a hypothesis test are satisfled? Explain. The boxplot shows that there □ outliers. The boxplot shows that there □ is no evidence of strong skewness. We □ assume that the population is approximately normal. It □ reasonable to assume that the conditions are satisfied. Part 2 of 6 State the appropriate null and alternate hypotheses.
H0:μ=150H1:μ<150 This hypothesis test is a left-tailed ∇ test. Part: 2/6 Part 3 of 6 Compute the value of the test statistic. Round the answer to three decimal places.
t=−1.801□×
5
×
5
□∞
(2)
目
4)
□
alo
탕
I
□0012014016018010
Big babies: The National Health Statistics Reports described a study in which a sample of 322 one-year-old baby boys were weighed. Their mean weight was 25.1 pounds with standard deviation 5.3 pounds. A pediatrician claims that the mean weight of one-year-old boys is greater than 25 pounds. Do the data provide convincing evidence that the pediatrician's claim is true? Use the α=0.05 level of significance and P-value method with the
(3) Critical Values for the Student's t Distribution Table. Part: 0/5□ Part 1 of 5
(a) State the appropriate null and alternate hypotheses.
H0:□H1:□ This hypothesis test is a (Choose one) ∇ test.
□
Patients arrive at an emergency department according to a poisson process with a mean of 6 per hour. What is the probability that more than 30 minutes is required for the third arrival?
A company has been monitoring their sales, and based on the history of data collected, they can provide the following probability distribution for the number of sales per week per salesperson. What is the sales per week per person standard deviation? (Round to the nearest two decimal places)
\begin{tabular}{cc}
\hline Number of sales per week & Probability f(x \\
\hline 0 & 0.09 \\
10 & 0.15 \\
20 & 0.42 \\
30 & 0.26 \\
40 & 0.08 \\
\hline
\end{tabular}
Heights ( cm ) and weights ( kg ) are measured for 100 randomly selected adult males, and range from heights of 139 to 193 cm and weights of 38 to 150 kg . Let the predictor variable x be the first variable given. The 100 paired measurements yield xˉ=167.54cm,yˉ=81.44kg,r=0.185,P-value =0.065, and y^=−107+1.05x. Find the best predicted value of y^ (weight) given an adult male who is 161 cm tall. Use a 0.05 significance level. Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y^ for an adult male who is 161 cm tall is □ kg .
(Round to two decimal places as needed.)
Al-Quds Company, a manufacturer of wool cloth, uses the weighted-average method for its process costing system. Each unit passes through the assembly department and the testing department. This problem focuses on the assembly department. The information for March is as follows: Beginning work in process was half converted as to labor and overhead. Direct materials are added at the beginning of the process. All conversion costs are incurred evenly throughout the process. Ending work in process was 60% complete. Required: 1. What is the total cost to account for? Tockefor Bey wip Dm + Beg curp CC + Dm added + CCC (DL + MOH)
=6,000+2600+30,000+(12,000+5000)=55,600 2. What are the equivalent units for direct materials?
Dm Comptetel 25,000 Bey + started = complete tend 10,000+20,000=25,000+ end end 5,000 end =5000 units. 3. What is the equivalent unit for conversion costs?
complete end 25,0003000(0,60×5000) e.U CC =28,000 4. Journalize the required entry to record the direct materials purchased and used in production during March.
Do students perform the same when they take an exam alone as when they take an exam in a classroom setting? Eight students were given two tests of equal difficulty. They took one test in a solitary room and they took the other in a room filled with other students. The results are shown below. Exam Scores
\begin{tabular}{|c|c|c|c|c|c|c|c|c|}
\hline Alone & 89 & 90 & 83 & 74 & 83 & 77 & 69 & 69 \\
\hline Classroom & 98 & 98 & 92 & 80 & 81 & 81 & 72 & 72 \\
\hline
\end{tabular} Assume a Normal distribution. What can be concluded at the the α=0.01 level of significance level of significance? For this study, we should use
Select an answer
a. The null and alternative hypotheses would be:
H0 :
Select an answer
Select an answer
Select an answer
□ (please enter a decimal)
H1 :
Select an answer
Select an answer
Select an answer
(Please enter a decimal)
b. The test statistic ? =□ (please show your answer to 3 decimal places.)
c. The p-value =□ (Please show your answer to 4 decimal places.)
d. The p-value is □α
e. Based on this, we should Select an answer
□ t...
f. Thus, the final conclusion is that the null hypothesis.
The results are statistically insignificant at α=0.01, so there is insufficient evidence to conclude that the population mean test score taking the exam alone is not the same as the population mean test score taking the exam in a classroom setting.
The results are statistically significant at α=0.01, so there is sufficient evidence to conclude that the population mean test score taking the exam alone is not the same as the population mean test score taking the exam in a classroom setting.
The results are statistically significant at α=0.01, so there is sufficient evidence to conclude that the eight students scored the same on average taking the exam alone compared to the classroom setting.
The results are statistically insignificant at α=0.01, so there is statistically significant evidence to conclude that the population mean test score taking the exam alone is equal to the population mean test score taking the exam in a classroom setting.
You wish to test the following claim (Ha) at a significance level of α=0.02.
Ho:μ=82.2Ha:μ<82.2 You believe the population is normally distributed, but you do not know the standard deviation. You obtain a sample of size n=18 with mean M=78.3 and a standard deviation of SD=18.2. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = □
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p -value =□
1. A method of assigning probabilities which assumes that the experimental outcomes are equally likely is referred to as the 2. If P(A)=0.6,P(B)=0.35,A and B are independent, then P(A∪B)= 3. If P(A∩B)=P(A)⋅P(B), then A and B are called 4. If the two events A and B are mutually exclusive then P(A∩B)= 5. The counting rule that is used for counting the number of experimental outcomes when n objects are selected from a set of N objects where order of selection is important is called 6. Any process that generates well-defined outcomes is 7. The probability of passing an exam is 0.68 . What is the probability of not passing the exam? 8. In how many ways can you select four students to interview from a list of ten students?
You wish to test the following claim (Ha) at a significance level of α=0.02.
Ho:μ=50.3Ha:μ<50.3 You believe the population is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:
\begin{tabular}{|r|r|r|r|r|}
\hline 56.1 & 21.7 & 24 & 61.8 & 55.5 \\
\hline 59.4 & 5.2 & 58 & 12.5 & 53.7 \\
\hline 69.4 & 18.9 & 54.3 & 36.8 & 45.3 \\
\hline 53.7 & 8.3 & 60.2 & 43.1 & 66.8 \\
\hline 40.8 & 44.9 & 69.4 & 20.8 & 32.4 \\
\hline 35.8 & 50.1 & 43.1 & 34.4 & 40.8 \\
\hline 35.8 & 39.1 & 28 & 44.9 & 40.4 \\
\hline 56.7 & 20.8 & 36.8 & 39.1 & 35.8 \\
\hline 39.1 & 31.4 & 12.5 & 31.4 & 71 \\
\hline 60.2 & 41.7 & 48.6 & 49.1 & 48.6 \\
\hline
\end{tabular} What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic = □
What is the p-value for this sample? (Report answer accurate to four decimal places.)
p -value =□
The "Freshman 15" refers to the belief that college students gain 15 lb (or 6.8 kg ) during their freshman year. Listed in the accompanying table are weights (kg) of randomly selected male college freshmen. The weights were measured in September and later in April. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) through (c).
September
576360
70
52
65
749257
April
58
65
64
68
53
82
92
59 Identify the P -value.
P -value =0.0277 (Round to three decimal places as needed.)
What is the conclusion based on the hypothesis test?
Since the P -value is less than the significance level, reject the null hypothesis. There is sufficient evidence to support the claim that for the population of freshman male college students, the weights in September are less than the weights in the following April.
b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval is □kg<μd<□ kg.
(Type integers or decimals roundeध to one decimal place as needed.)
Test the claim that the mean GPA of night students is smaller than 3.4 at the 0.025 significance level.
The null and alternative hypothesis would be:
H0:μ≥3.4H1:μ<3.4H0:p=0.85H1:p=0.85H0:p≤0.85H1:p>0.85H0:p≥0.85H1:p<0.85H0:μ=3.4H1:μ=3.4H0:μ≤3.4H1:μ>3.4 The test is:
Based on a sample of 80 people, the sample mean GPA was 3.37 with a standard deviation of 0.06
The test statistic is: □ (to 2 decimals) The p-value is: □ (to 2 decimals)
```latex
\text{Daytona Company has three employees who are paid on an hourly basis, plus time and a half for hours in excess of 44 hours per week. Payroll information for the week ending December 16, 2021 is listed below.} \begin{tabular}{|l|c|c|c|c|c|c|c|}
\hline
\text{Employee} & \text{Hours Worked} & \text{Hourly Rate} & \text{Income Tax} & \text{CPP} & \text{EI} & \text{Union Dues} \\
\hline
\text{J. Michelle} & 48 & \$16.80 & \$161.28 & \$42.11 & \$13.27 & \$30.00 \\
\hline
\text{A. Knopf} & 45 & \$17.90 & \$161.10 & \$40.72 & \$12.87 & \$30.00 \\
\hline
\text{C. Tatum} & 42 & \$16.40 & \$137.76 & \$33.87 & \$10.88 & \$30.00 \\
\hline
\end{tabular} \text{Do not enter dollar signs or commas in the input boxes.}
\text{Round your answers to 2 decimal places.} \begin{enumerate}
\item[(a)] Calculate gross pay for each employee and the amount the employer will have to pay for CPP and EI.
\begin{tabular}{|l|l|l|l|}
\hline
\text{Employee} & \multicolumn{1}{c|}{\text{Gross}} & \text{Employer CPP} & \multicolumn{1}{c|}{\text{Employer EI}} \\
\hline
\text{J. Michelle} & & & \$4 \\
\hline
\end{tabular}
\item[(b)] Prepare the journal entries for the December 16 payroll and the employer's portion of payroll. Employees will not be paid until next week.
\text{For transactions with more than one debit or more than one credit, enter the debit accounts in alphabetical order followed by credit.}
\end{enumerate} \text{The user took a picture with their phone and the text was extracted above. The user then had a dialogue with an AI Assistant to help clarify the instructions.} \text{Dialogue Transcript:} \text{Hello! It seems like you're working on a payroll calculation problem for Daytona Company, but some critical information is missing. To help you with this, I'll need:} \begin{enumerate}
\item \text{The hourly wage rate for each employee.}
\item \text{The number of hours worked by each employee for the week ending December 16, 2021.}
\item \text{The rates applicable for CPP and EI deductions.}
\end{enumerate} \text{Once you provide this information, I can help you calculate the gross pay for each employee, the employer's contributions, and assist you with the required journal entries. Feel free to provide these details, and we'll get started right away!}
2. If P(A)=0.6,P(A∪B)=0.8, and the events A and B are independent, then compute the probability of B 3. Consider the following summary for Gender and Preferred place to study
\begin{tabular}{c|c|c|c|c}
& Library & Home & Cafeteria & \\
\hline Male & 55 & 40 & 35 & \\
\hline Female & 100 & 50 & 20 & \\
\hline & & & & 300
\end{tabular}
(a) If we select a student at random, what is the probability that the student is male and prefer library
(b) If a student prefers to study at home, what is the probability that the student is Male
(c) If M={ student is male\}, H={ student prefers to study at Home }, then are M and H independent Explain
Ho:μd=0Ha:μd=0 You believe the population of difference scores is normally distributed, but you do not know the standard deviation. You obtain the following sample of data:
\begin{tabular}{|r|r|}
\hline pre-test & post-test \\
\hline 28.9 & 30.1 \\
\hline 55.1 & 61.1 \\
\hline 39.6 & 37.4 \\
\hline 35.6 & -0.9 \\
\hline 52.5 & 49.6 \\
\hline 47.8 & 36.9 \\
\hline 45.3 & 31 \\
\hline 39.2 & 40.8 \\
\hline 36.5 & 37.3 \\
\hline 26.3 & 24.5 \\
\hline 44.5 & 8 \\
\hline 34.1 & 42.3 \\
\hline 35.1 & 61.3 \\
\hline 60.5 & 52.6 \\
\hline 50.7 & 49.3 \\
\hline 44.2 & 60.7 \\
\hline 52.1 & 80.9 \\
\hline
\end{tabular} What is the test statistic for this sample?
test statistic =□ (Report answer accurate to 4 decimal places.) What is the p-value for this sample?
p -value =□ (Report answer accurate to 4 decimal places.)
Question 2 of 33
This les, : : 1 in
This (uevioni:
a If a riflernan's gursight is acjusted incorrectly, he might shoot bullets consistently close to 2 leet left of the bull's-eye target. Dram a sket this show lack of precision or bias?
b. Drasn a second sketch of the target it the shots are both unbiased and precise (have little variation). The riflernan's aim is not parlect, so one bullethole.
a. Drawn a sketch of the target with the bullet holes consistently close to 2 feet left of the bull's-eye target. Choose the correct target below feet.
A.
B.
c. Does this show lack of precision or bias?
he U.S. Department of Health has suggested that a healthy total cholesterol measurement should be 200dLmg or less. Records from 50 randomly and independently selected eople from a study conducted by the agency showed the results in the technology output given below. Test the hypothesis that the mean cholesterol level is more than 200 using a ignificance level of 0.05 . Assume that conditions are met. One-Sample T
Test of μ=200 vs >200
\begin{tabular}{rrrrcc}
N & Mean & StDev & SE Mean & T & P \\
50 & 208.17 & 40.78 & 5.77 & 1.42 & 0.081 \\
\hline
\end{tabular} Determine the null and alternative hypotheses. Choose the correct answer below.
A. H0:μ=200 B. H0:μ=200 C. H0:μ<200Ha:μ>200Ha:μ=200Ha:μ≥200
D. H0:μ>200 E. H0:μ=200 F. H0:μ=200 H. . 1 < mn H. . 1 < 20n H. "=2mn
(1) Time Remaining: 01:25:23
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A 2003 study of dreaming found that out of a random sample of 114 people, 85 reported drearning in color. However, the rate of reported drearning in color that was established in the 1940s was 0.28 . Check to see whether the conditions for using a one-proportion z-test are met assuming the researcher wanted to test to see if the proportion dreaming in color had changed since the 1940s. Are the conditions met?
A. No, the observations are not independent.
B. No, the sample size is not large enough to produce at least 10 successes and 10 failures.
C. No, the population is not more than 10 times bigger than the sample size.
D. Yes, all the conditions are met.
Suppose that, when taking a random sample of three students' GPAs, you get a sample mean of 3.90 . This sample mean is far higher than the college-wide (population) mean. Does this prove that your sample is biased? Explain. What else could have caused this high mean? Choose the correct answer below.
A. Nothing other than bias could have caused this small mean.
B. The sample may not be biased. The measurements may not have been precise.
C. One or more of the students could have lied about their GPAs.
D. The sample may not be biased. The high mean might have occurred by chance, since the sample size is very small.