Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.10 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the critical value. Assume that the samples are dependent and were obtained randomly. Click here to view the contingency table Click here to view the table of critical values of the chi-square distribution, (a) Let p, represent the proportion of success for treatment A and p2 represent the proportion of success for treatment B. What are the null and alternative hypotheses? O B. Ho: P1 =P2 O A. Ho: P1 P2 H,: P, =P2 H,: P, >P2 Họ: P1 =P2 H4: P, P2 OD. Ho: P1 =P2 H,: P,

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
Question
Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.10 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the critical value.
Assume that the samples are dependent and were obtained randomly.
Click here to view the contingency table Click here to view the table of critical values of the chi-square distribution.
(a) Let p, represent the proportion of success for treatment A and p, represent the proportion of success for treatment B. What are the null and alternative hypotheses?
B. Ho: P1 = P2
A. Ho: P1 # P2
H1: P1 = P2
H1:P, > P2
C. Ho: P1 = P2
H7: P, #P2
D. Ho: P1 = P2
H1:P, <P2
(b) The test statistic is
%3D
(Round to two decimal places as needed.)
Transcribed Image Text:Using the data shown in the accompanying contingency table, test whether the population proportions differ at the a = 0.10 level of significance by determining (a) the null and alternative hypotheses, (b) the test statistic, and (c) the critical value. Assume that the samples are dependent and were obtained randomly. Click here to view the contingency table Click here to view the table of critical values of the chi-square distribution. (a) Let p, represent the proportion of success for treatment A and p, represent the proportion of success for treatment B. What are the null and alternative hypotheses? B. Ho: P1 = P2 A. Ho: P1 # P2 H1: P1 = P2 H1:P, > P2 C. Ho: P1 = P2 H7: P, #P2 D. Ho: P1 = P2 H1:P, <P2 (b) The test statistic is %3D (Round to two decimal places as needed.)
Chi-Square Distribution Critical Values Table
Contingency Table
Treatment A
Chi-Square (x Distribution
Areato the Right of Critical Vahue
Success
Failure
Degrees of
Success
46
30
Treatment B
Freedom
0995
0.99
0975
095
0.90
0.10
0.05
0.025
0.01
0.005
Failure
15
25
0.016
2.706
4.605
6.251
5.024
7.378
9.348
6.635
9.210
11.345
13.277
15.086
1
0.001
0.004
3.841
7879
0.061
0.216
5991
7815
10.597
0.010
0.072
0.207
2
0020
0.103
0.211
0115
0.584
1.064
1.610
3
0.352
12.838
Print
Done
14.860
16.750
0.711
7.779
11.143
0297
0554
0.484
9488
0.412
0.831
1.145
9.236
11.070
12.833
16.812
18.475
20.090
21.666
23209
0.676
0.872
1.239
1.646
2.088
2.558
1.635
2.167
2.204
2.833
3.490
4.168
4.865
10.645
12592
14.067
15.507
16.919
18.307
14.449
16.013
17535
1.237
18.548
0.989
1.690
12.017
20278
1.344
1.735
2.156
13.362
14.684
15.987
21.955
23589
25.188
2.180
2.733
2.700
3.325
19.023
10
3.247
3.940
20.483
3.816
2.603
3.074
3565
4.075
4.601
3.063
3.571
4.107
4.575
5.226
5.892
6.571
7.261
5.578
6.304
7042
17275
18.549
19.812
21.064
19.675
21.026
22.362
23.685
24.996
24.725
26 217
27688
11
21.920
26.757
12
13
4.404
5.009
5.629
6.262
23.337
24.736
26.119
28.300
29.819
4.660
5.229
14
7.790
29.141
31.319
15
8.547
22.307
27.488
30578
32.801
5142
5.697
6.265
6.844
5.812
6.408
7015
7633
8.260
26.296
27587
28.869
30.144
28.845
30.191
31.526
32.852
6.908
7564
7962
8.672
23.542
24.769
25.989
27204
34.267
35.718
37156
38.582
16
9.312
32.000
10.085
10.865
11.651
12.443
17
33.409
34.805
36.191
37566
18
8.231
9.390
8.907
9.591
19
10.117
20
7434
10.851
28.412
31.410
34.170
39.997
8.034
8.643
9.260
9.886
10.520
11.591
29.615
32.671
35.479
36.781
38.076
39.364
40.646
21
8.897
10.283
13.240
38.932
40.289
41.401
9.542
10.196
10856
11.524
22
10.982
12.338
14.041
30.813
33.924
42.796
11.689
35.172
36415
37652
41638
42.980
13.091
32.007
33.196
23
14.848
15.659
16.473
44.181
45.559
46.928
24
12.401
13.848
14.611
25
13.120
34.382
44.314
11.160
11808
12.461
38885
15.379
16.151
16.928
35.563
36.741
37.916
41.923
43.195
44.461
45.722
46.979
45.642
46.963
26
12.198
13.844
17.292
14.573
15.308
16.047
16.791
48.290
49645
50993
52.336
53672
40.113
41.337
27
12879
18.114
13.565
14.256
14.953
18.939
19.768
20.599
28
48.278
42557
29
30
13.121
13.787
49.588
50.892
17.708
39.087
40.256
18.493
43.773
51.805
63.167
55.758
67505
59.342
71.420
66.766
20.707
27991
22.164
26.509
34.764
29.051
37689
63691
76.154
24.433
40
50
29.707
32.357
79490
40 10
12100
7A 207
70 007
02 n00
00 270
01 0K
Transcribed Image Text:Chi-Square Distribution Critical Values Table Contingency Table Treatment A Chi-Square (x Distribution Areato the Right of Critical Vahue Success Failure Degrees of Success 46 30 Treatment B Freedom 0995 0.99 0975 095 0.90 0.10 0.05 0.025 0.01 0.005 Failure 15 25 0.016 2.706 4.605 6.251 5.024 7.378 9.348 6.635 9.210 11.345 13.277 15.086 1 0.001 0.004 3.841 7879 0.061 0.216 5991 7815 10.597 0.010 0.072 0.207 2 0020 0.103 0.211 0115 0.584 1.064 1.610 3 0.352 12.838 Print Done 14.860 16.750 0.711 7.779 11.143 0297 0554 0.484 9488 0.412 0.831 1.145 9.236 11.070 12.833 16.812 18.475 20.090 21.666 23209 0.676 0.872 1.239 1.646 2.088 2.558 1.635 2.167 2.204 2.833 3.490 4.168 4.865 10.645 12592 14.067 15.507 16.919 18.307 14.449 16.013 17535 1.237 18.548 0.989 1.690 12.017 20278 1.344 1.735 2.156 13.362 14.684 15.987 21.955 23589 25.188 2.180 2.733 2.700 3.325 19.023 10 3.247 3.940 20.483 3.816 2.603 3.074 3565 4.075 4.601 3.063 3.571 4.107 4.575 5.226 5.892 6.571 7.261 5.578 6.304 7042 17275 18.549 19.812 21.064 19.675 21.026 22.362 23.685 24.996 24.725 26 217 27688 11 21.920 26.757 12 13 4.404 5.009 5.629 6.262 23.337 24.736 26.119 28.300 29.819 4.660 5.229 14 7.790 29.141 31.319 15 8.547 22.307 27.488 30578 32.801 5142 5.697 6.265 6.844 5.812 6.408 7015 7633 8.260 26.296 27587 28.869 30.144 28.845 30.191 31.526 32.852 6.908 7564 7962 8.672 23.542 24.769 25.989 27204 34.267 35.718 37156 38.582 16 9.312 32.000 10.085 10.865 11.651 12.443 17 33.409 34.805 36.191 37566 18 8.231 9.390 8.907 9.591 19 10.117 20 7434 10.851 28.412 31.410 34.170 39.997 8.034 8.643 9.260 9.886 10.520 11.591 29.615 32.671 35.479 36.781 38.076 39.364 40.646 21 8.897 10.283 13.240 38.932 40.289 41.401 9.542 10.196 10856 11.524 22 10.982 12.338 14.041 30.813 33.924 42.796 11.689 35.172 36415 37652 41638 42.980 13.091 32.007 33.196 23 14.848 15.659 16.473 44.181 45.559 46.928 24 12.401 13.848 14.611 25 13.120 34.382 44.314 11.160 11808 12.461 38885 15.379 16.151 16.928 35.563 36.741 37.916 41.923 43.195 44.461 45.722 46.979 45.642 46.963 26 12.198 13.844 17.292 14.573 15.308 16.047 16.791 48.290 49645 50993 52.336 53672 40.113 41.337 27 12879 18.114 13.565 14.256 14.953 18.939 19.768 20.599 28 48.278 42557 29 30 13.121 13.787 49.588 50.892 17.708 39.087 40.256 18.493 43.773 51.805 63.167 55.758 67505 59.342 71.420 66.766 20.707 27991 22.164 26.509 34.764 29.051 37689 63691 76.154 24.433 40 50 29.707 32.357 79490 40 10 12100 7A 207 70 007 02 n00 00 270 01 0K
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