In order to determine whether there was a difference inthe survival rate between females and males, a two-sampleproportion test was applied. The following is the output for thetest with some entries missing:
Two sample proportion hypothesis test:
p1 : Proportion of successes (Success = Survived) forSurvival where Gender=Female
p2 : Proportion of successes (Success = Survived) forSurvival where Gender=Male
p1 - p2 : Difference in proportions
H0 : p1 - p2 = 0
HA : p1 - p2 ≠0
Hypothesis test results:
Difference | Count1 | Total1 | Count2 | Total2 | Sample Diff. | Std. Err. | Z-Stat | P-value |
p1 - p2 | 25 | 36 | 23 | 53 | ? | 0.10765355 | ? | ? |
What is the appropriate conclusion at the 1%significance level based off this data?
Select one:
a. Since P-value < α, reject H0 and there issufficient evidence of a difference in survival rate between malesand females.
b. Since P-value > α, reject H0 and there issufficient evidence of a difference in survival rate between malesand females.
c. Since P-value < α, do not reject H0 and thereis insufficient evidence of a difference in survival rate betweenmales and females.
d. Since P-value > α, do not reject H0 and thereis insufficient evidence of a difference in survival rate betweenmales and females.
e. Since P-value > α, do not reject H0 and thereis sufficient evidence of equality in survival rate between malesand females.
