Dependent samples t-test
A researcher wonders whether there is a difference in weight following a vegan diet. The scores for a group of 10 students before (pre) and after (post) the implementation of the vegan diet are recorded:
Student |
Pre () |
Post () |
1 |
156 |
146 |
2 |
170 |
145 |
3 |
130 |
125 |
4 |
136 |
114 |
5 |
128 |
110 |
6 |
115 |
110 |
7 |
138 |
116 |
8 |
145 |
130 |
9 |
164 |
150 |
10 |
150 |
120 |
I have used minitab software
Steps
output
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So as the p value is nearly 0.01 we can accept the null nypothesis ( that is we can say that "there is no difference in weight following a vegan diet") at only 99% confidence level.. But otherwise we would reject the null hypothesis(that is we can say "there is a difference in weight following a vegan diet") at 90% and 95% confidence level
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Dependent samples t-test A researcher wonders whether there is a difference in weight following a vegan...
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