Do question 7,8 and 9 only dont do the others The new study takes a random sample of 14 vaccinated high school children. Let x be the number of children in the sample who contract the flu. The p-value for the test can be calculated from a Binomial distribution using P(X≤x). The maximum number of children who can contract the flu to give evidence against the null hypothesis in Question 3 at the 5% level is 1 2 3 5 Question 5 Suppose the actual population proportion of vaccinated high school children who contract the flu is 30%. For a random sample of 14 vaccinated high school children and based on your answer to Question 4, the probability of making a Type II error is 0.3637 0.6448 0.8392 0.8631 Question 6 The new study also carried out a test to determine whether the population proportion of unvaccinated school children contracting winter flu was higher than the population proportion of vaccinated school children. The Z test statistic to test this belief is found to be 1.874. The corresponding p-value is 0.0305 0.1212 0.3036 0.7724 Question 7 Suppose that the new study uses a level of significance of 0.05 to test the claim in Question 6. The probability of Type I error is 0.025 0.05 0.95 0.975 Question 8 Based on previous studies of school children who were vaccinated and contracted the flu, the time in hours that the flu symptoms last is assumed to follow a normal distribution with a mean of 20.7 hours and a standard deviation of 7.3 hours. The probability that a randomly selected school child has flu symptoms for more than 24 hours is 0.1628 0.3256 0.6744 0.8372 Question 9 Suppose that a random sample of 5 vaccinated school children is taken. Assuming the distribution in Question 8, the probability that the mean time with symptoms is less than 18 hours is 0.2041 0.3557 0.6354 0.7959
Do question 7,8 and 9 only dont do the others
The new study takes a random sample of 14 vaccinated high school children. Let x be the number of children in the sample who contract the flu. The p-value for the test can be calculated from a Binomial distribution using P(X≤x). The maximum number of children who can contract the flu to give evidence against the null hypothesis in Question 3 at the 5% level is
1
2
3
5
Question 5
Suppose the actual population proportion of vaccinated high school children who contract the flu is 30%. For a random sample of 14 vaccinated high school children and based on your answer to Question 4, the probability of making a Type II error is
0.3637
0.6448
0.8392
0.8631
Question 6
The new study also carried out a test to determine whether the population proportion of unvaccinated school children contracting winter flu was higher than the population proportion of vaccinated school children. The Z test statistic to test this belief is found to be 1.874. The corresponding p-value is
0.0305
0.1212
0.3036
0.7724
Question 7
Suppose that the new study uses a level of significance of 0.05 to test the claim in Question 6. The probability of Type I error is
0.025
0.05
0.95
0.975
Question 8
Based on previous studies of school children who were vaccinated and contracted the flu, the time in hours that the flu symptoms last is assumed to follow a
0.1628
0.3256
0.6744
0.8372
Question 9
Suppose that a random sample of 5 vaccinated school children is taken. Assuming the distribution in Question 8, the probability that the mean time with symptoms is less than 18 hours is
0.2041
0.3557
0.6354
0.7959
Trending now
This is a popular solution!
Step by step
Solved in 2 steps