Section 11.2 Question #6 The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 700 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 422 257 Women who disagree 278 43 View the chi-square distribution table. Chi-square distribution table Dialog content starts Area to the Right of the Critical Value Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0.005 1 - - 0.001 0.004 0.016 2.706 3.841 5.024 6.635 7.879 2 0.010 0.020 0.051 0.103 0.211 4.605 5.991 7.378 9.210 10.597 3 0.072 0.115 0.216 0.352 0.584 6.251 7.815 9.348 11.345 12.838 4 0.207 0.297 0.484 0.711 1.064 7.779 9.488 11.143 13.277 14.860 5 0.412 0.554 0.831 1.145 1.610 9.236 11.071 12.833 15.086 16.750 6 0.676 0.872 1.237 1.635 2.204 10.645 12.592 14.449 16.812 18.548 7 0.989 1.239 1.690 2.167 2.833 12.017 14.067 16.013 18.475 20.278 8 1.344 1.646 2.180 2.733 3.490 13.362 15.507 17.535 20.090 21.955 9 1.735 2.088 2.700 3.325 4.168 14.684 16.919 19.023 21.666 23.589 10 2.156 2.558 3.247 3.940 4.865 15.987 18.307 20.483 23.209 25.188 Compute the test statistic. ____________ (Round to three decimal places as needed.) Find the critical value(s). __________ (Round to three decimal places as needed. Use a comma to separate answers as needed.)
Section 11.2 Question #6 The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 700 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women? Gender of Interviewer Man Woman Women who agree 422 257 Women who disagree 278 43 View the chi-square distribution table. Chi-square distribution table Dialog content starts Area to the Right of the Critical Value Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0.005 1 - - 0.001 0.004 0.016 2.706 3.841 5.024 6.635 7.879 2 0.010 0.020 0.051 0.103 0.211 4.605 5.991 7.378 9.210 10.597 3 0.072 0.115 0.216 0.352 0.584 6.251 7.815 9.348 11.345 12.838 4 0.207 0.297 0.484 0.711 1.064 7.779 9.488 11.143 13.277 14.860 5 0.412 0.554 0.831 1.145 1.610 9.236 11.071 12.833 15.086 16.750 6 0.676 0.872 1.237 1.635 2.204 10.645 12.592 14.449 16.812 18.548 7 0.989 1.239 1.690 2.167 2.833 12.017 14.067 16.013 18.475 20.278 8 1.344 1.646 2.180 2.733 3.490 13.362 15.507 17.535 20.090 21.955 9 1.735 2.088 2.700 3.325 4.168 14.684 16.919 19.023 21.666 23.589 10 2.156 2.558 3.247 3.940 4.865 15.987 18.307 20.483 23.209 25.188 Compute the test statistic. ____________ (Round to three decimal places as needed.) Find the critical value(s). __________ (Round to three decimal places as needed. Use a comma to separate answers as needed.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 8SGR
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Section 11.2 Question #6
The table below summarizes data from a survey of a sample of women. Using a 0.05 significance level, and assuming that the sample sizes of 700 men and 300 women are predetermined, test the claim that the proportions of agree/disagree responses are the same for subjects interviewed by men and the subjects interviewed by women. Does it appear that the gender of the interviewer affected the responses of women?
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Gender of Interviewer
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---|---|---|---|---|---|
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Man
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Woman
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Women who agree
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422
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257
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Women who disagree
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278
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43
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View the chi-square distribution table.
Chi-square distribution table
Dialog content starts
Area to the Right of the Critical Value
Degrees of Freedom
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0.995
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0.99
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0.975
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0.95
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0.90
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0.10
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0.05
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0.025
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0.01
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0.005
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---|---|---|---|---|---|---|---|---|---|---|
1
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-
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-
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0.001
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0.004
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0.016
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2.706
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3.841
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5.024
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6.635
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7.879
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2
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0.010
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0.020
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0.051
|
0.103
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0.211
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4.605
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5.991
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7.378
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9.210
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10.597
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3
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0.072
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0.115
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0.216
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0.352
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0.584
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6.251
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7.815
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9.348
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11.345
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12.838
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4
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0.207
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0.297
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0.484
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0.711
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1.064
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7.779
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9.488
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11.143
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13.277
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14.860
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5
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0.412
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0.554
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0.831
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1.145
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1.610
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9.236
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11.071
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12.833
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15.086
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16.750
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6
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0.676
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0.872
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1.237
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1.635
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2.204
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10.645
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12.592
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14.449
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16.812
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18.548
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7
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0.989
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1.239
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1.690
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2.167
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2.833
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12.017
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14.067
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16.013
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18.475
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20.278
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8
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1.344
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1.646
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2.180
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2.733
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3.490
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13.362
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15.507
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17.535
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20.090
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21.955
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9
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1.735
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2.088
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2.700
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3.325
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4.168
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14.684
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16.919
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19.023
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21.666
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23.589
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10
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2.156
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2.558
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3.247
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3.940
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4.865
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15.987
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18.307
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20.483
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23.209
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25.188
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Compute the test statistic.
____________
(Round to three decimal places as needed.)
Find the critical value(s).
__________
(Round to three decimal places as needed. Use a comma to separate answers as needed.)
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