Math  /  Data & Statistics

QuestionA study time survey is conducted of 39 UGA students and a mean x -bar =110=110 minutes is obtained. Test whether the UGA study times differ from the national average of 120 min ? Assume study times have a normal distribution with a known standard deviation of σ=30\sigma=30 minutes. Use the 5%5 \% significance level.
I What is the value of the TEST STATISTIC?
Note: Enter XXX.XX AT LEAST ONE DIGIT BEFORE THE DECIMAL, TWO AFTER and round up. Thus, 134.784 is entered as 134.78,35.295134.78,35.295 is entered as 35.30, . 2749 is entered as 0.27,.56500.27,-.5650 is entered as -0.57 AA

Studdy Solution

STEP 1

What is this asking? We're checking if UGA students study differently than the national average of 120 minutes, using a sample of 39 students who average 110 minutes. Watch out! Don't forget to use the known standard deviation of 30 minutes and the significance level of 5%!

STEP 2

1. Define the hypotheses
2. Calculate the test statistic
3. Determine the significance

STEP 3

Alright, let's start by setting up what we're trying to prove or disprove!
We have two hypotheses here:
- **Null Hypothesis (H0H_0)**: The mean study time for UGA students is **equal** to the national average, which is 120 minutes.
So, H0:μ=120H_0: \mu = 120.
- **Alternative Hypothesis (HaH_a)**: The mean study time for UGA students is **different** from the national average.
So, Ha:μ120H_a: \mu \neq 120.

STEP 4

Now, let's calculate the test statistic!
This is where we use the sample mean, the national average, and the standard deviation.
The formula for the test statistic zz is:
z=xˉμσnz = \frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}}}where: - xˉ=110\bar{x} = 110 (the sample mean), - μ=120\mu = 120 (the national average), - σ=30\sigma = 30 (the standard deviation), - n=39n = 39 (the sample size).

STEP 5

Let's plug in those numbers and do the math:
z=1101203039z = \frac{110 - 120}{\frac{30}{\sqrt{39}}}

STEP 6

First, calculate the denominator:
3039306.2444.805\frac{30}{\sqrt{39}} \approx \frac{30}{6.244} \approx 4.805

STEP 7

Now, calculate the numerator:
110120=10110 - 120 = -10

STEP 8

Finally, divide the numerator by the denominator to find zz:
z=104.8052.081z = \frac{-10}{4.805} \approx -2.081

STEP 9

We're using a 5% significance level, which corresponds to a critical value of approximately ±1.96\pm 1.96 for a two-tailed test.
Since our calculated zz value of 2.081-2.081 is outside this range, it suggests that the study times are significantly different from the national average!

STEP 10

The value of the test statistic is approximately 2.08-2.08.

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