The following MINITAB output presents the results of a hypothesis test for the difference Hx - Hy between two population means. Some of the numbers are missing. Fill in the numbers for (a) through (d). Two-sample T for X vs Y Mean StDev SE Mean х 1.755 0.482 (a) 13 3.239 (b) 0.094 Difference = mu (X) – mu (Y) Estimate for difference: (c) 95% CI for difference: (-1.99996, –0.96791) T-Test of difference = 0 (vs not =): T-Value = (d) P-Value = 0.000 DF = 7

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The following MINITAB output presents the results of a hypothesis test for the difference
Hx - Hy between two population means. Some of the numbers are missing. Fill in the
numbers for (a) through (d).
Two-sample T for X vs Y
Mean
StDev
SE Mean
х
1.755
0.482
(a)
13
3.239
(b)
0.094
Difference = mu (X) – mu (Y)
Estimate for difference: (c)
95% CI for difference: (-1.99996, –0.96791)
T-Test of difference = 0 (vs not =): T-Value = (d) P-Value = 0.000 DF = 7
Transcribed Image Text:The following MINITAB output presents the results of a hypothesis test for the difference Hx - Hy between two population means. Some of the numbers are missing. Fill in the numbers for (a) through (d). Two-sample T for X vs Y Mean StDev SE Mean х 1.755 0.482 (a) 13 3.239 (b) 0.094 Difference = mu (X) – mu (Y) Estimate for difference: (c) 95% CI for difference: (-1.99996, –0.96791) T-Test of difference = 0 (vs not =): T-Value = (d) P-Value = 0.000 DF = 7
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