consider the data of pretest and post test scores
X1 (pre) X2(post)
2 5
3 7
6 11
5 9
perform a related-samples t-test on above data. a) Conducting a two tailed hypothesis test at the alpha = 0.01 what is the critical t value?
b) what is the obtained t value that you calculated from the above dataset?
c) given the obtained t and critical t values, is the mean of the difference scores statistically significant why or why not?
Pre | Post | Difference |
2 | 5 | -3 |
3 | 7 | -4 |
6 | 11 | -5 |
5 | 9 | -4 |
Total | -16 |
The null and alternative hypothesis is
a)
Level of significance = 0.01
Sample size = n = 4
Degrees of freedom = n - 1 = 4 - 1 = 3
Critical value = 5.841
( From t table)
b)
Test statistic is
Sample mean of difference = = - 4
Sample standard deviation of difference = = 0.8165
c)
Test statistic | t | > critical value we reject the null hypothesis.
Conclusion: the mean of the difference scores statistically significant.
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