In a study of red/green color blindness, 500 men and 2300 women are randomly selected and tested. Among the men, 43 have red/green color blindness. Among the women, 77 have red/green color blindness. Test the claim that men have a higher rate of red/green color blindness. The test statistic is: The p-value is: Is there sufficient evidence to support the claim that men have a higher rate of red/green color blindness than women using the 0.05% significance level? A. Yes

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In a study of red/green color blindness, 500 men and 2300 women are randomly selected and tested. Among the men, 43 have red/green color blindness. Among the women, 77 have red/green color blindness. Test the claim that men have a higher rate of red/green color blindness.
The test statistic is:


The p-value is:


Is there sufficient evidence to support the claim that men have a higher rate of red/green color blindness than women using the 0.05% significance level?

A. Yes
B. No

2. Construct the 95% confidence interval for the difference between the color blindness rates of men and women.
 <(p1−p2)<<(p1−p2)< 

Which of the following is the correct interpretation for your answer in part 2?
A. We can be 95% confident that the difference between the rates of red/green color blindness for men and women lies in the interval
B. We can be 95% confident that that the difference between the rates of red/green color blindness for men and women in the sample lies in the interval
C. There is a 95% chance that that the difference between the rates of red/green color blindness for men and women lies in the interval
D. None of the above

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