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 N Mean StDev SE Mean 135 3.94 2.65 0.23 180 4.43...


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>N<br>Mean<br>StDev<br>SE Mean<br>135<br>3.94<br>2.65<br>0.23<br>180<br>4.43<br>2.38<br>0.18<br>Difference = mu (X) – mu (Y)<br>Estimate for difference: -0.484442<br>95% upper bound for difference: -0.007380<br>T-Test of difference = 0 (vs <): T-Value = -1.68 P-Value = 0.047 DF = 270<br>Is this a one-tailed or two-tailed test?<br>a.<br>b.<br>What is the null hypothesis?<br>Can H, be rejected at the 5% level? How can you tell?<br>C.<br>d.<br>The output presents a Student's t test. Compute the P-value using a z test. Are the two<br>results similar?<br>Use the output and an appropriate table to compute a 99% confidence interval for Hy-<br>Hy based on the z statistic.<br>e.<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 N Mean StDev SE Mean 135 3.94 2.65 0.23 180 4.43 2.38 0.18 Difference = mu (X) – mu (Y) Estimate for difference: -0.484442 95% upper bound for difference: -0.007380 T-Test of difference = 0 (vs <): t-value="-1.68" p-value="0.047" df="270" is="" this="" a="" one-tailed="" or="" two-tailed="" test?="" a.="" b.="" what="" is="" the="" null="" hypothesis?="" can="" h,="" be="" rejected="" at="" the="" 5%="" level?="" how="" can="" you="" tell?="" c.="" d.="" the="" output="" presents="" a="" student's="" t="" test.="" compute="" the="" p-value="" using="" a="" z="" test.="" are="" the="" two="" results="" similar?="" use="" the="" output="" and="" an="" appropriate="" table="" to="" compute="" a="" 99%="" confidence="" interval="" for="" hy-="" hy="" based="" on="" the="" z="" statistic.="">

Jun 10, 2022
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