(1 point) 1. In a study of red/green color blindness, 850 men and 2450 women are randomly selected and tested. Among the men, 72 have red/green color blindness. Among the women, 5 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 0.01% significance level?
A. Yes
B. No
2. Construct the 99% confidence interval for the difference between the color blindness rates of men and women.
Which of the following is the correct interpretation for your answer in part 2?
A. We can be 99% confident that the difference between the rates of red/green color blindness men and women lies in the interval
B. There is a 99% chance that the difference between the rates of red/green color blindness men and women lies in the interval
C. We can be 99% confident that the difference between the rates of red/green color blindness men and women in the sample lies in the interval
D. None of the above.
(1 point) 1. In a study of red/green color blindness, 850 men and 2450 women are randomly selected and tested. Among the men, 72 have red/green color blindness. Among the women, 5 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 0.01% significance level?
A. Yes
B. No
2. Construct the 99% confidence interval for the difference between the color blindness rates of men and women.
Which of the following is the correct interpretation for your answer in part 2?
A. We can be 99% confident that the difference between the rates of red/green color blindness men and women lies in the interval
B. There is a 99% chance that the difference between the rates of red/green color blindness men and women lies in the interval
C. We can be 99% confident that the difference between the rates of red/green color blindness men and women in the sample lies in the interval
D. None of the above.
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(1 point) Among drivers who have had a car crash in the last year, 110 were randomly selected and categorized by age, with the results listed in the table below.
If all ages have the same crash rate, we would expect (because of the age distribution of licensed drivers) the given categories to have 16%, 44%, 27%, 13% of the subjects respectively. At the 0.05 significance level, test the claim that the distribution of crashes conforms to the distribution of ages.
Age | Under 25 | 25-44 | 45-64 | Over 64 |
Drivers | 42 | 25 | 15 | 28 |
The test statistic is
The critical value is
The conclusion is
◯ A. There is sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distribution of ages.
◯ B. There is not sufficient evidence to warrant the rejection of the claim that the distribution of crashes conforms to the distribution of ages.