Use a t-distribution and the given matched pair sample
results to complete the test of the given hypotheses. Assume the
results come from random samples, and if the sample sizes are
small, assume the underlying distribution of the differences is
relatively normal. Assume that differences are computed using
d=x1-x2.
Test H0 : μd=0 vs Ha : μd>0 using the paired data in the
following table:
Situation 1 |
120 |
156 |
145 |
175 |
153 |
148 |
180 |
135 |
168 |
157 |
Situation 2 |
120 |
145 |
142 |
150 |
165 |
148 |
160 |
142 |
162 |
150 |
Give the test statistic and the p-value.
Round your answer for the test statistic to two decimal places and
your answer for the p-value to three decimal places.
test statistic =
p-value =
Situation 1 | Situation 2 | Difference |
120 | 120 | 0 |
156 | 145 | 11 |
145 | 142 | 3 |
175 | 150 | 25 |
153 | 165 | -12 |
148 | 148 | 0 |
180 | 160 | 20 |
135 | 142 | -7 |
168 | 162 | 6 |
157 | 150 | 7 |
Total | 53 |
Sample size = n = 10
Sample mean of difference = = 5.3
Sample standard deviation of difference = = 11.3142
Test statistic is
Degrees of freedom = n - 1 = 10 - 1 = 9
P-value = P(T > 1.48) = 0.086
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