# Question

From the survey in Exercise 11, which of the following are true? If they are not true, explain briefly why not.

a) 95% of the 200 students are in the interval (0.283, 0.417).

b) The true proportion of students who use laptops to take notes is captured in the interval (0.283, 0.417) with probability 0.95.

c) There is a 35% chance that a student uses a laptop to take notes.

d) There is a 95% chance that the student uses a laptop to take notes 3 5 % of the time.

e) We are 95% confident that the true proportion of students who use laptops to take notes is captured in the interval (0.283, 0.417).

a) 95% of the 200 students are in the interval (0.283, 0.417).

b) The true proportion of students who use laptops to take notes is captured in the interval (0.283, 0.417) with probability 0.95.

c) There is a 35% chance that a student uses a laptop to take notes.

d) There is a 95% chance that the student uses a laptop to take notes 3 5 % of the time.

e) We are 95% confident that the true proportion of students who use laptops to take notes is captured in the interval (0.283, 0.417).

## Answer to relevant Questions

From the survey in Exercise 11, a) How would the confidence interval change if the confidence level had been 90% instead of 95%? b) How would the confidence interval change if the sample size had been 300 instead of 200? ...The proportion of adult women in the United States is approximately 51 %. A marketing survey telephones 400 people at random. a) What proportion of women in the sample of 400 would you expect to see? b) How many women, on ...Would a bigger sample help us to assess manufacturing consistency? Suppose instead of the 50-candy bags of Exercise 26, we work with bags that contain 200 M&M’s each. Again we calculate the proportion of green candies ...Based on past experience, a bank believes that 7% of the people who receive loans will not make payments on time. The bank has recently approved 200 loans. a) What are the mean and standard deviation of the proportion of ...When a truckload of apples arrives at a packing plant, a random sample of 150 is selected and examined for bruises, discoloration, and other defects. The whole truck- load will be rejected if more than 5% of the sample is ...Post your question

0