Questions 31-32. In a study, 1000 men and 1000 women at age of 25 years old were surveyed. Among them, 290 of the men and 340 women had some grey hair. At the significance level of a = 0.01, do the data suggest that 25 years old men are less likely to have grey hair than 25 years old women? A researcher performed two analyses using Minitab with relevant outputs below. ANALYSIS I Test and CI for Two Proportions Method Estimation for Difference Difference -0.05 95% CI for Difference CI based on normal approximation The pooled estimate of the proportion (0.315) is used for the tests. Difference (-0.090657, -0.009343) -0.05 ANALYSIS II Test and CI for Two Proportions Method Estimation for Difference Method Normal approximation Fisher's exact 95% Upper Bound for Difference Method -0.015880 Normal approximation Fisher's exact CI based on normal approximation The pooled estimate of the proportion (0.315) is used for the tests. Z-Value -2.41 Z-Value -2.41 P-Value 0.016 0.018 P-Value 0.008 0.009 Question 31. Let p₁ and p2 indicate the population proportions of 25 years old men and women who have some grey hair, respectively. An appropriate analysis of the above data is (A) Analysis I with alternative hypothesis Ha: p1

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Questions 31-32. In a study, 1000 men and 1000 women at age of 25 years old were surveyed. Among
them, 290 of the men and 340 women had some grey hair. At the significance level of a = 0.01, do the
data suggest that 25 years old men are less likely to have grey hair than 25 years old women? A
researcher performed two analyses using Minitab with relevant outputs below.
ANALYSIS I Test and CI for Two Proportions Method
Estimation for Difference
Difference
-0.05
95% CI for
Difference
CI based on normal approximation
The pooled estimate of the proportion (0.315) is used for the tests.
Difference
(-0.090657, -0.009343)
-0.05
ANALYSIS II Test and CI for Two Proportions Method
Estimation for Difference
Method
Normal approximation
Fisher's exact
95% Upper Bound for
Difference Method
-0.015880 Normal approximation
Fisher's exact
CI based on normal approximation
The pooled estimate of the proportion (0.315) is used for the tests.
Z-Value
-2.41
Z-Value
-2.41
P-Value
0.016
0.018
P-Value
0.008
0.009
Question 31. Let p₁ and p2 indicate the population proportions of 25 years old men and women who
have some grey hair, respectively. An appropriate analysis of the above data is
(A) Analysis I with alternative hypothesis Ha: p1 <P2.
(B) Analysis II with alternative hypothesis Ha: p₁ <P2.
(C) Analysis I with alternative hypothesis Ha: p1 # P2.
P2.
(D) Analysis II with alternative hypothesis Ha: p₁ #
(E) Analysis I with alternative hypothesis Ha: p₁ = P2.
Transcribed Image Text:Questions 31-32. In a study, 1000 men and 1000 women at age of 25 years old were surveyed. Among them, 290 of the men and 340 women had some grey hair. At the significance level of a = 0.01, do the data suggest that 25 years old men are less likely to have grey hair than 25 years old women? A researcher performed two analyses using Minitab with relevant outputs below. ANALYSIS I Test and CI for Two Proportions Method Estimation for Difference Difference -0.05 95% CI for Difference CI based on normal approximation The pooled estimate of the proportion (0.315) is used for the tests. Difference (-0.090657, -0.009343) -0.05 ANALYSIS II Test and CI for Two Proportions Method Estimation for Difference Method Normal approximation Fisher's exact 95% Upper Bound for Difference Method -0.015880 Normal approximation Fisher's exact CI based on normal approximation The pooled estimate of the proportion (0.315) is used for the tests. Z-Value -2.41 Z-Value -2.41 P-Value 0.016 0.018 P-Value 0.008 0.009 Question 31. Let p₁ and p2 indicate the population proportions of 25 years old men and women who have some grey hair, respectively. An appropriate analysis of the above data is (A) Analysis I with alternative hypothesis Ha: p1 <P2. (B) Analysis II with alternative hypothesis Ha: p₁ <P2. (C) Analysis I with alternative hypothesis Ha: p1 # P2. P2. (D) Analysis II with alternative hypothesis Ha: p₁ # (E) Analysis I with alternative hypothesis Ha: p₁ = P2.
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