5. We conduct a two-sample t-test to compare the means of two populations. Assume that the populations have equal variance. Two random samples are taken from the populations and the following summary...


5.<br>We conduct a two-sample t-test to compare the means of two populations. Assume that the populations<br>have equal variance. Two random samples are taken from the populations and the following summary statistics was<br>obtained.<br>Descriptive Statistics: Y1, Y2<br>Total<br>Variable<br>Count Mean SE Mean StDev Variance<br>Sum<br>Yl<br>16 20.19<br>1.31 5.24<br>27.46 323.04<br>16 24.42<br>1.97 7.87<br>61.94 414.72<br>Y2<br>Test the hypothesis Ho: H1 = Hz versus the one-sided alternative H: H < Hz at a = 0.01 level. State<br>%3D<br>a.<br>your conclusion.<br>Determine the bounds on the p-value of the test.<br>Construct a 95% upper confidence bound on the difference in means.<br>b.<br>c.<br>

Extracted text: 5. We conduct a two-sample t-test to compare the means of two populations. Assume that the populations have equal variance. Two random samples are taken from the populations and the following summary statistics was obtained. Descriptive Statistics: Y1, Y2 Total Variable Count Mean SE Mean StDev Variance Sum Yl 16 20.19 1.31 5.24 27.46 323.04 16 24.42 1.97 7.87 61.94 414.72 Y2 Test the hypothesis Ho: H1 = Hz versus the one-sided alternative H: H < hz="" at="" a="0.01" level.="" state="" %3d="" a.="" your="" conclusion.="" determine="" the="" bounds="" on="" the="" p-value="" of="" the="" test.="" construct="" a="" 95%="" upper="" confidence="" bound="" on="" the="" difference="" in="" means.="" b.="">

Jun 07, 2022
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