The following MINITAB output presents the results of a hypothesis test for the difference Hx - Hy between two population means. Two-sample T for X vs Y Mean StDev SE Mean 10 39.31 8.71 2.8 10 29.12...

The following MINITAB output presents the results of a hypothesis test for the difference<br>Hx - Hy between two population means.<br>Two-sample T for X vs Y<br>Mean<br>StDev<br>SE Mean<br>10<br>39.31<br>8.71<br>2.8<br>10<br>29.12<br>4.79<br>1.5<br>Difference = mu (X) – mu (Y)<br>Estimate for difference: 10.1974<br>95% lower bound for difference: 4.6333<br>T-Test of difference = 0 (vs >): T-Value = 3.25 P-Value = 0.003 DF = 13<br>%3D<br>Is this a one-tailed or two-tailed test?<br>What is the null hypothesis?<br>a.<br>b.<br>C.<br>Can H, be rejected at the 1% level? How can you tell1?<br>

Extracted text: The following MINITAB output presents the results of a hypothesis test for the difference Hx - Hy between two population means. Two-sample T for X vs Y Mean StDev SE Mean 10 39.31 8.71 2.8 10 29.12 4.79 1.5 Difference = mu (X) – mu (Y) Estimate for difference: 10.1974 95% lower bound for difference: 4.6333 T-Test of difference = 0 (vs >): T-Value = 3.25 P-Value = 0.003 DF = 13 %3D Is this a one-tailed or two-tailed test? What is the null hypothesis? a. b. C. Can H, be rejected at the 1% level? How can you tell1?

Jun 10, 2022

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The following MINITAB output presents the results of a hypothesis test for the difference Hx - Hy between two population means. Two-sample T for X vs Y Mean StDev SE Mean 10 39.31 8.71 2.8 10 29.12...

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