EXERCISE 1

(Oscar-Winning Actresses, Exercise 11/Section 8.4)

Data Set 11 in Appendix B (or SPSS Files/OSCR.sav) lists ages of actresses when they won Oscars. Use a 0.01 significance level to test the claim that the mean age of actresses when they win Oscars is different from 33 years.

NOTE: To answer this question, you must:

1. Perform a one-mean t-test as described in the previous example, this includes:
2. Print a copy of the two tables that SPSS will produce when you run the t-test
3. You should also include (write down):

1. The null hypothesis for the t-test
2. The alternative hypothesis for the t-test
3. The significance level α

4. INTERPRET the tables, that is:

1. Decide whether or not to reject the null hypothesis, EXPLAIN your decision
2. Interpret what this decision means for this example

EXERCISE 2 （ data input needed ）

(Age of US Residents)

In 2000, the mean age of US residents was 35.7 years, as reported by the Census Bureau in Current Population Reports. A random sample taken this year of 10 US residents yielded the following ages, in years.

89 62 24 79 36

54 49 58 16 33

At the 5% significance level, do the data provide sufficient evidence to conclude that the mean age of today’s US residents has increased over the 2000 median of 35.7?

NOTE: To answer this question, you must:

1. Input the data into an SPSS spreadsheet and name it as Ages.
2. Perform a one-mean t-test as described in the previous example.
3. Print a copy of the two tables that SPSS will produce when you run the t-test
4. You should also include (write down):

1. The null hypothesis for the t-test
2. The alternative hypothesis for the t-test
3. The significance level α

5. INTERPRET the tables, that is:

1. Decide whether or not to reject the null hypothesis, EXPLAIN your decision
2. Interpret what this decision means for this example.

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Solution: The downloadable solution consists of 3 pages, 551 words.
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