You are testing the claim that the mean GPA of night students is different than the mean GPA of day students. You sample 60 night students, and the sample mean GPA is 2.63 with a standard deviation of 0.56 You sample 45 day students, and the sample mean GPA is 2.62 with a standard deviation of 0.98

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## Hypothesis Testing for Difference in Means

### Scenario

You are testing the claim that the mean GPA of night students is different from the mean GPA of day students.

1. **Night Students:** 
    - Sample Size (n₁): 60
    - Sample Mean (x̄₁): 2.63
    - Standard Deviation (s₁): 0.56

2. **Day Students:** 
    - Sample Size (n₂): 45
    - Sample Mean (x̄₂): 2.62
    - Standard Deviation (s₂): 0.98

### Task

Calculate the test statistic, rounded to two decimal places. 

To test the hypothesis, we use the formula for the test statistic for the difference between two means:

\[ 
t = \frac{(x̄₁ - x̄₂)}{\sqrt{\left( \frac{s₁²}{n₁} + \frac{s₂²}{n₂} \right) }}
\]

Where:
- \( x̄₁ \) and \( x̄₂ \) are the sample means for night and day students respectively.
- \( s₁ \) and \( s₂ \) are the standard deviations of the samples.
- \( n₁ \) and \( n₂ \) are the sample sizes.

By substituting the given values into the formula, you can calculate the test statistic.
Transcribed Image Text:## Hypothesis Testing for Difference in Means ### Scenario You are testing the claim that the mean GPA of night students is different from the mean GPA of day students. 1. **Night Students:** - Sample Size (n₁): 60 - Sample Mean (x̄₁): 2.63 - Standard Deviation (s₁): 0.56 2. **Day Students:** - Sample Size (n₂): 45 - Sample Mean (x̄₂): 2.62 - Standard Deviation (s₂): 0.98 ### Task Calculate the test statistic, rounded to two decimal places. To test the hypothesis, we use the formula for the test statistic for the difference between two means: \[ t = \frac{(x̄₁ - x̄₂)}{\sqrt{\left( \frac{s₁²}{n₁} + \frac{s₂²}{n₂} \right) }} \] Where: - \( x̄₁ \) and \( x̄₂ \) are the sample means for night and day students respectively. - \( s₁ \) and \( s₂ \) are the standard deviations of the samples. - \( n₁ \) and \( n₂ \) are the sample sizes. By substituting the given values into the formula, you can calculate the test statistic.
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