Scenario: Gary GradStudent suspects that the average household size may have increased over time as people increasingly struggle to make ends meet. Use the below output from the GSS to test his...


Scenario: Gary GradStudent suspects that the average household size may have increased over time<br>as people increasingly struggle to make ends meet. Use the below output from the GSS to test his<br>hypothesis.<br>Group Statistics<br>GSS year for this<br>Std. Error<br>Mean<br>respondent<br>Mean<br>Std. Deviation<br>Number of persons in<br>1988<br>1481<br>2,62<br>1.406<br>,037<br>household<br>2018<br>2348<br>2,35<br>1.334<br>.028<br>Independent Samples Test<br>Levene's Test for Equality of<br>Variances<br>t-test for Equality of Means<br>95% Confidence Interval of the<br>Difference<br>Std. Error<br>Difference<br>Mean<br>F<br>Sig.<br>t<br>df<br>Sig. (2-tailed)<br>Difference<br>Lower<br>Upper<br>Number of persons in<br>Equal variances<br>18.408<br>.000<br>5.994<br>3827<br>.000<br>.271<br>.045<br>.182<br>.360<br>household<br>assumed<br>Equal variances not<br>assumed<br>5.923<br>3022.712<br>.000<br>271<br>.046<br>.181<br>.361<br>Question: What are the assumptions for this hypothesis test? (Select all that apply)<br>The dependent variable is quantitative<br>There are two independent random samples.<br>The population distribution(s) have a normal shape.<br>The sample(s) are large (n>30).<br>The shape of the population distribution(s) is unknown.<br>The sample(s) were not collected at random.<br>There is one random sample.<br>The dependent variable is categorical<br>The population distribution(s) have a non-normal shape.<br>The sample(s) are small (n<30).<br>

Extracted text: Scenario: Gary GradStudent suspects that the average household size may have increased over time as people increasingly struggle to make ends meet. Use the below output from the GSS to test his hypothesis. Group Statistics GSS year for this Std. Error Mean respondent Mean Std. Deviation Number of persons in 1988 1481 2,62 1.406 ,037 household 2018 2348 2,35 1.334 .028 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference Std. Error Difference Mean F Sig. t df Sig. (2-tailed) Difference Lower Upper Number of persons in Equal variances 18.408 .000 5.994 3827 .000 .271 .045 .182 .360 household assumed Equal variances not assumed 5.923 3022.712 .000 271 .046 .181 .361 Question: What are the assumptions for this hypothesis test? (Select all that apply) The dependent variable is quantitative There are two independent random samples. The population distribution(s) have a normal shape. The sample(s) are large (n>30). The shape of the population distribution(s) is unknown. The sample(s) were not collected at random. There is one random sample. The dependent variable is categorical The population distribution(s) have a non-normal shape. The sample(s) are small (n<30).>
Jun 11, 2022
SOLUTION.PDF

Get Answer To This Question

Related Questions & Answers

More Questions ยป

Submit New Assignment

Copy and Paste Your Assignment Here