1. In own words explain the difference between a point estimate and an interval estimate of a parameter? Which is better? Why? 2. What information is necessary to calculate a confidence interval? Is...

1. In own words explain the difference between a point estimate and an interval estimate of a parameter? Which is better? Why?

2. What information is necessary to calculate a confidence interval? Is the size of the population relevant when one is determining the sample size for a confidence interval? What is necessary to determine the sample size?

3. Choose a variable (such as number of daily admissions at a local theater or number of miles students have to commute daily to get to their college.) Before collecting the data, decide what a likely average might be, then complete the following:

a. Write a brief statement of purpose of the study

b. Define the population

c. State the hypotheses for the study

d. Select an a value

e. State how the sample was selected

f. Show the raw data

g. Compute the test statistic

h. Find the critical values(s)

i. State the decision

j. Summarize the results

4. A sample of the math test scores of 35 fourth-graders has a mean of 82 with a standard deviation of 15.

a. Find the 95% confidence interval of the mean math test scores of all fourth-graders.

b. Find the 99% confidence interval of the mean math test scores of all fourth-graders.

c. Which interval is larger? Explain why.

5. A researcher is interested in estimating the average salary of fire fighters in a large city. He wants to be 95% confident that his estimate is correct. If the standard deviation is $1050, how large a sample is needed to get the desired information and to be accurate within $200?

6. A researcher claims that the average age of people who buy lottery tickets is 70. A sample of 30 is selected and their ages are recorded as shown below. The standard deviation is 16. At alpha = 0.05 is there enough evidence to reject the researcher's claim?

49 63 90 52 22 80 72 56 82 56

24 46 70 74 70 61 65 71 39 74

79 76 71 49 62 68 71 67 69 45

7. A sample size of 35 is used to test H0: m 65 vs. Ha:

Given that = 63.5 and = 2.5, answer the following questions

a. What is the computed value of the test statistic?

b. What distribution does the test statistic have when the null hypothesis is true?

c. Is the alternative hypothesis one-tailed or two-tailed?

d. What is the p-value?

8. List the steps involved in hypothesis testing using: a) the traditional/classical method; b) the probability-value method. Provide an example of each.

9. In what ways is the t distribution similar to the standard normal distribution? In what ways is the t distribution different from the standard normal distribution? How does the formula for the t test differ from the formula for the z test?