1. You read about a survey in a newspaper and find that 70% of the 250 people sampled prefer Candidate A. You are surprised by this survey because you thought that more like 50% of the population preferred this candidate. Based on this sample, is 50% a possible population proportion? Compute the 95% confidence interval to be sure.

2. A significance test is performed and p = .20. Why canâ€™t the experimenter claim that the probability that the null hypothesis is true is .20?

3. You have 7 means, and you want to compare each mean to every other mean.
(a) How many tests total are you going to compute?
(b) What would be the chance of making at least one Type I error if the Type I error for each test was .05 and the tests were independent?
(c) Do you think the chance of making at least one Type 1 error when comparing these 7 tests is high or low? Explain your answer.

4. How do you decide whether to use an independent t-test or a dependent (or correlated) t-test?

5. Arizona State University conducted a study of whether running is healthy for men and women over age 60. During the first five years of the study, 1.5% of the 451 members of the 60-Plus Fitness Association died. We are interested in the proportion of people over 60 who ran and died in the same five-year period.
a. Define the random variables X and Pâ€² in words.
b. Which distribution should you use for this problem? Explain.
c. Construct a 97% confidence interval for the population proportion of people over 60 who ran and died in the same fiveâ€“year period.
i. State the confidence interval.
ii. Sketch the graph.
iii. Calculate the error bound.
d. Explain what a â€œ97% confidence intervalâ€ means for this study

1. You read about a survey in a newspaper and find that 70% of the...