In: Advanced Math
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 |
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Mean |
N |
Std. Deviation |
Std. Error Mean |
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Pair 1 |
PreTest |
65.0000 |
33 |
15.18223 |
2.64289 |
PostTest |
71.4545 |
33 |
14.59686 |
2.54099 |
Paired Samples Correlations |
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N |
Correlation |
Sig. |
||
Pair 1 |
PreTest & PostTest |
33 |
.969 |
.000 |
Paired Samples Test |
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Paired Differences |
t |
df |
Sig. (2-tailed) |
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Mean |
Std. Deviation |
Std. Error Mean |
95% Confidence Interval of the Difference |
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Lower |
Upper |
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Pair 1 |
PreTest - PostTest |
-6.45455 |
3.73406 |
.65002 |
-7.77858 |
-5.13051 |
-9.930 |
32 |
.000 |