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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 Std. Error GSS year for this respondent N. Mean Std. Deviation Mean Number of persons in household 1988 1481 2.62 1.406 .037 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 Mean Difference Std. Error Difference F Si. t df Sig. (2-tailed) Lower Upper Number of persons in household Equal variances assumed 18.408 .000 5.994 3827 .000 .271 .045 .182 .360 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). O The shape of the population distribution(s) is unknown. The sample(s) were not collected at random. There is one random sample. O The dependent variable is categorical O The population distribution(s) have a non-normal shape. O The samplels) are small (n< 30)

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 Std. Error GSS year for this respondent N. Mean Std. Deviation Mean Number of persons in household 1988 1481 2.62 1.406 .037 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 Mean Difference Std. Error Difference F Si. t df Sig. (2-tailed) Lower Upper Number of persons in household Equal variances assumed 18.408 .000 5.994 3827 .000 .271 .045 .182 .360 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). O The shape of the population distribution(s) is unknown. The sample(s) were not collected at random. There is one random sample. O The dependent variable is categorical O The population distribution(s) have a non-normal shape. O The samplels) are small (n< 30)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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).
Transcribed Image 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).
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