Answer:
In this case, the test statistic to be approximately -11.61 (rounded to two decimal places).
Explanation:
To compare the mean student debt of students from two states, we can use a two-sample t-test since we don't assume equal variances. The t-test compares the means of two samples to determine if there is a significant difference between them.
Given the following information:
- - First state sample: Sample mean = $17175, Sample standard deviation = $1356, Sample size = 20.
- - Second state sample: Sample mean = $21660, Sample standard deviation = $1363, Sample size = 20.
- - Critical value = -2.024 (assuming a two-tailed test)
To calculate the test statistic for the t-test, we use the formula:
t = (x₁ - x₂) / √[(s₁² / n₁) + (s₁² / n₁)]
where x₁ and x₁ are the sample means, s₁ and s₂ are the sample standard deviations, and n₁ and n₁ are the sample sizes.
Plugging in the values:
t = ($17175 - $21660) / √[(($1356)² / 20) + (($1363)² / 20)]
Calculating this expression, we find the test statistic to be approximately -11.61 (rounded to two decimal places).
Since the critical value provided is -2.024 and the test statistic is much smaller than the critical value, we can conclude that there is a significant difference between the mean student debts of the two states.