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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 respondent Mean Std. Deviation Mean 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 Si. df Sig. (2-tailed) Difference Lower Upper Equal variances Number of persons in household 18.408 .000 5.994 3827 .000 271 .045 .182 360 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 population distribution(s) have a non-normal shape. The population distribution(s) have a normal shape. The dependent variable is categorical The sample(s) are large (n>30). There is one random sample. The sample(s) were not collected at random. The dependent variable is quantitative There are two independent random samples. The shape of the population distribution(s) is unknown. The sample(s) 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 GSS year for this Std. Error respondent Mean Std. Deviation Mean 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 Si. df Sig. (2-tailed) Difference Lower Upper Equal variances Number of persons in household 18.408 .000 5.994 3827 .000 271 .045 .182 360 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 population distribution(s) have a non-normal shape. The population distribution(s) have a normal shape. The dependent variable is categorical The sample(s) are large (n>30). There is one random sample. The sample(s) were not collected at random. The dependent variable is quantitative There are two independent random samples. The shape of the population distribution(s) is unknown. The sample(s) are small (n<30).

A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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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 respondent 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 Std. Error F Sig. t df Sig. (2-tailed) Difference 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 5.923 3022.712 .000 .271 .046 .181 361 assumed Question: What are the assumptions for this hypothesis test? (Select all that apply) The population distribution(s) have a non-normal shape. The population distribution(s) have a normal shape. The dependent variable is categorical The sample(s) are large (n>30). There is one random sample. The sample(s) were not collected at random. The dependent variable is quantitative There are two independent random samples. The shape of the population distribution(s) is unknown. The sample(s) are small (n<30). O O 0 00
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 respondent 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 Std. Error F Sig. t df Sig. (2-tailed) Difference 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 5.923 3022.712 .000 .271 .046 .181 361 assumed Question: What are the assumptions for this hypothesis test? (Select all that apply) The population distribution(s) have a non-normal shape. The population distribution(s) have a normal shape. The dependent variable is categorical The sample(s) are large (n>30). There is one random sample. The sample(s) were not collected at random. The dependent variable is quantitative There are two independent random samples. The shape of the population distribution(s) is unknown. The sample(s) are small (n<30). O O 0 00
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