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A researcher wishes to test if the variance of scores on a particular exam is the same for college students who work full time as for college students who don't work at all. She samples the scores of 47 students who work full time (group A) and the scores of 40 students who do not work (group B). She attains the following results: Group A: 268.3, 259.2, 121.3, 185.9, 136.8, 220.9, 117.4, 187.8, 174.4, 123.3, 146.7, 171.2, 178.6, 124.7, 142.9, 186.4, 127.9, 189.6, 184.3, 194.1, 70.7, 97.6, 155.6, 105.5, 94.8, 113.6, 25.6, 170, 137.4, 130.3, 63.9, 94.4, 130.9, 159.8, 138.5, 147.4, 131.6, 146.1, 101.7, 106.1, 166.1, 128.7, 182.8, 87.9, 131, 221.4, 212 Group B: 240.8, 143.9, 158.6, 175.6, 144.6, 143.9, 173.4, 173.9, 182.1, 149.2, 159.5, 210.7, 133.7, 105.5, 129.6, 100.6, 48.1, 199, 158.1, 147.4, 158.1, 139.9, 56.8, 164.2, 155.3, 155.3, 170.8, 108.6, 110.9, 106.6, 152.8, 127.5, 142.5, 143.6, 136.1, 113.2, 131.2, 199.3, 184, 127.9 Perform a hypothesis test using a 10% level of significance to test if the variance between the two groups is different. Step 1: State the null and alternative hypotheses. Ho: Ha: 0² (So we will be performing a Select an answer test.) Submit Part

A researcher wishes to test if the variance of scores on a particular exam is the same for college students who work full time as for college students who don't work at all. She samples the scores of 47 students who work full time (group A) and the scores of 40 students who do not work (group B). She attains the following results: Group A: 268.3, 259.2, 121.3, 185.9, 136.8, 220.9, 117.4, 187.8, 174.4, 123.3, 146.7, 171.2, 178.6, 124.7, 142.9, 186.4, 127.9, 189.6, 184.3, 194.1, 70.7, 97.6, 155.6, 105.5, 94.8, 113.6, 25.6, 170, 137.4, 130.3, 63.9, 94.4, 130.9, 159.8, 138.5, 147.4, 131.6, 146.1, 101.7, 106.1, 166.1, 128.7, 182.8, 87.9, 131, 221.4, 212 Group B: 240.8, 143.9, 158.6, 175.6, 144.6, 143.9, 173.4, 173.9, 182.1, 149.2, 159.5, 210.7, 133.7, 105.5, 129.6, 100.6, 48.1, 199, 158.1, 147.4, 158.1, 139.9, 56.8, 164.2, 155.3, 155.3, 170.8, 108.6, 110.9, 106.6, 152.8, 127.5, 142.5, 143.6, 136.1, 113.2, 131.2, 199.3, 184, 127.9 Perform a hypothesis test using a 10% level of significance to test if the variance between the two groups is different. Step 1: State the null and alternative hypotheses. Ho: Ha: 0² (So we will be performing a Select an answer test.) Submit Part

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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esc A researcher wishes to test if the variance of scores on a particular exam is the same for college students who work full time as for college students who don't work at all. She samples the scores of 47 students who work full time (group A) and the scores of 40 students who do not work (group B). She attains the following results: Group A: 268.3, 259.2, 121.3, 185.9, 136.8, 220.9, 117.4, 187.8, 174.4, 123.3, 146.7, 171.2, 178.6, 124.7, 142.9, 186.4, 127.9, 189.6, 184.3, 194.1, 70.7, 97.6, 155.6, 105.5, 94.8, 113.6, 25.6, 170, 137.4, 130.3, 63.9, 94.4, 130.9, 159.8, 138.5, 147.4, 131.6, 146.1, 101.7, 106.1, 166.1, 128.7, 182.8, 87.9, 131, 221.4, 212 Group B: 240.8, 143.9, 158.6, 175.6, 144.6, 143.9, 173.4, 173.9, 182.1, 149.2, 159.5, 210.7, 133.7, 105.5, 129.6, 100.6, 48.1, 199, 158.1, 147.4, 158.1, 139.9, 56.8, 164.2, 155.3, 155.3, 170.8, 108.6, 110.9, 106.6, 152.8, 127.5, 142.5, 143.6, 136.1, 113.2, 131.2, 199.3, 184, 127.9 Perform a hypothesis test using a 10% level of significance to test if the variance between the two groups is different. Step 1: State the null and alternative hypotheses. 35 Ho: Ha: OR ? V ?V (So we will be performing a Select an answertest.) Part 1 of 4 Submit Part X Hannah FaceTime Video 01:38:08 2
Transcribed Image Text:esc A researcher wishes to test if the variance of scores on a particular exam is the same for college students who work full time as for college students who don't work at all. She samples the scores of 47 students who work full time (group A) and the scores of 40 students who do not work (group B). She attains the following results: Group A: 268.3, 259.2, 121.3, 185.9, 136.8, 220.9, 117.4, 187.8, 174.4, 123.3, 146.7, 171.2, 178.6, 124.7, 142.9, 186.4, 127.9, 189.6, 184.3, 194.1, 70.7, 97.6, 155.6, 105.5, 94.8, 113.6, 25.6, 170, 137.4, 130.3, 63.9, 94.4, 130.9, 159.8, 138.5, 147.4, 131.6, 146.1, 101.7, 106.1, 166.1, 128.7, 182.8, 87.9, 131, 221.4, 212 Group B: 240.8, 143.9, 158.6, 175.6, 144.6, 143.9, 173.4, 173.9, 182.1, 149.2, 159.5, 210.7, 133.7, 105.5, 129.6, 100.6, 48.1, 199, 158.1, 147.4, 158.1, 139.9, 56.8, 164.2, 155.3, 155.3, 170.8, 108.6, 110.9, 106.6, 152.8, 127.5, 142.5, 143.6, 136.1, 113.2, 131.2, 199.3, 184, 127.9 Perform a hypothesis test using a 10% level of significance to test if the variance between the two groups is different. Step 1: State the null and alternative hypotheses. 35 Ho: Ha: OR ? V ?V (So we will be performing a Select an answertest.) Part 1 of 4 Submit Part X Hannah FaceTime Video 01:38:08 2
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