A professor wants to determine if there is a difference between students' pre and post test...

A professor wants to determine if there is a difference between students' pre and post test after a semester of learning.

1. What could be the research question for this problem?

2. What could be the null hypothesis and alternative hypothesis for this problem?

3. Looking at the mean of both pro and post test, on the end-results below, does it REJECT or FAIL TO REJECT the null hypothesis and why?

The results of the test showed this following:

Paired Samples Statistics
		Mean	N	Std. Deviation	Std. Error Mean
Pair 1	PreTest	65.0000	33	15.18223	2.64289
Pair 1	PostTest	71.4545	33	14.59686	2.54099

Paired Samples Correlations
		N	Correlation	Sig.
Pair 1	PreTest & PostTest	33	.969	.000

Paired Samples Test
		Paired Differences					t	df	Sig. (2-tailed)
		Mean	Std. Deviation	Std. Error Mean	95% Confidence Interval of the Difference
					Lower	Upper
Pair 1	PreTest - PostTest	-6.45455	3.73406	.65002	-7.77858	-5.13051	-9.930	32	.000

Solutions

Expert Solution

I explained the question in detail as below.

Colby Messinger answered 1 year ago

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