Question
Asked Feb 22, 2020
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The following MINITAB output presents the results of a hypothesis test for the difference
P1 - P2 between two population proportions. Some of the numbers are missing. Fill in the
numbers for (a) through (d).
Test and CI for Two Proportions
Sample p
(a)
Sample
х
101
153
2
(b)
90
0.544444
Difference = p (1) - (2)
Estimate for difference: 0.115686
95% CI for difference: (-0.0116695, 0.243042)
Test for difference = 0 (vs not = 0): Z = (c) P-Value = (d)
%3D
%3D
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The following MINITAB output presents the results of a hypothesis test for the difference P1 - P2 between two population proportions. Some of the numbers are missing. Fill in the numbers for (a) through (d). Test and CI for Two Proportions Sample p (a) Sample х 101 153 2 (b) 90 0.544444 Difference = p (1) - (2) Estimate for difference: 0.115686 95% CI for difference: (-0.0116695, 0.243042) Test for difference = 0 (vs not = 0): Z = (c) P-Value = (d) %3D %3D

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Expert Answer

Step 1

The values missed in the table will be obtained as given below:

(a)

Statistics homework question answer, step 1, image 1

Step 2

(b)

The number of observation in Sample 2:

Statistics homework question answer, step 2, image 1

Step 3

(c)

Standard error of the difference between two proportions (p-hat 1 – p-hat 2):

Here, p-hat1 = 0.6601, n1 = 153, p-hat 2 = 0.5444, n2 = 90.

Denote the population proportion as p.

The standard error of the difference between two proportions (p-hat 1 – p-hat 2)is obtained from the calculation given below:

Statistics homework question answer, step 3, image 1

The test statistic is given by,

Statistics homework question answer, step 3, image 2

...

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