Math  /  Data & Statistics

QuestionQuestion 15 of 30 (1 point) I Question Attempt: 1 of 1 1\equiv 1 =2=2 3 4 5 6 7 8 9
Following are final exam scores, arranged in increasing order, for students in an introductory statistics course. \begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|} \hline 56 & 58 & 59 & 60 & 61 & 63 & 66 & 67 & 67 & 70 & 73 & 74 & 75 & 75 & 76 \\ \hline 82 & 85 & 86 & 86 & 90 & 91 & 91 & 92 & 92 & 93 & 96 & 96 & 97 & 97 & 98 \\ \hline \end{tabular}
Part: 0/20 / 2
Part 1 of 2 (a) Find the first quartile of the scores.
The first quartile of the scores is \square .

Studdy Solution

STEP 1

What is this asking? Find the score that separates the lowest 25% of final exam scores from the rest. Watch out! Don't forget that there are different ways to calculate quartiles, so make sure to use the method your teacher prefers!

STEP 2

1. Count the scores
2. Calculate the rank of the first quartile
3. Find the first quartile

STEP 3

Let's **count** how many scores we have!
We've got a whole bunch of exam scores laid out there, and it looks like there are 1515 scores in the first row and another 1515 in the second row.
So, we have a **total** of 15+15=3015 + 15 = 30 scores.
Woohoo!

STEP 4

Now, the **first quartile** is like the quarter-mark of the data.
It's the score that separates the bottom 25%25\% from the rest.
Since we have 3030 scores, we want to find the rank of the score that splits the data into 25%25\% and 75%75\%.
We can calculate this **rank** by multiplying the total number of scores by 0.250.25: 300.25=7.530 \cdot 0.25 = 7.5.

STEP 5

Since our calculated rank of 7.57.5 isn't a whole number, we'll need to do a little bit of averaging.
The rank 7.57.5 falls between the 77th and 88th scores.
Let's look back at our data: the 77th score is **66** and the 88th score is **67**.

STEP 6

To find the **first quartile**, we'll take the average of these two scores: 66+672=1332=66.5\frac{66 + 67}{2} = \frac{133}{2} = 66.5.
So, our **first quartile** is 66.566.5!

STEP 7

The first quartile of the scores is 66.566.5.

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