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a. In what percent of the days will it take him 30 or fewer minutes to reach his office?

b. What percent of the days will it take between 40 and 50 minutes?

c. What percent of days will it take him between 30 and 45 minutes?

d. How long will the longest 10% of the trips take?

23. Given the following partial ANOVA Table:

Source of

Variation Sum of Squares df Mean Square F value

Treatments3

Error20

Total40015

Assume a .05 level of significance.

a. What are the null and alternate hypotheses?

b. How many treatments are there?

c. What is the critical value of F at the 5% level of significance? Indicate in words when you would reject the null hypothesis.

d. What are the values for the Mean Square Treatment (MST) and the Mean Square Error (MSE)?

e.Compute the value of F. Do you Reject or Fail to Reject the Null Hypothesis? State you conclusion.

A random sample of size 15 is selected from a normal population. The population standard deviation is unknown. Assume that a two-tailed test at the 0.10 significance level is to be used. The null hypothesis is not rejected if the computed t is:

a. to the left of -1.282 or to the right of 1.282.

b. to the right of 1.345 or to the left of -1.345.

c. to the left of -1.761 or to the right of 1.761.

d. none of the above.

Given a one sample z test, if the critical value of z is 2.58 and the computed value is 2.48, it indicates that the difference between the sample and population values are:

a. due to chance, fail to reject the null hypothesis.

b. not due to chance, reject the null hypothesis.

c. not due to chance, accept the alternate hypothesis.

d. none of the above.

If the least squares equation for sales data is the following:

(in $ millions) what are the sales when X = 10 (in millions of dollars)?

a. 10

b. 21.3

c. 11.3

d. 23.0

e. none of the above.

The coefficient of determination r2 was computed to the 0.70. This means:

a. there is almost no correlation because 0.70 is close to 1.0.

b. that 70 percent of the variation in one variable is explained by the other.

c. that the correlation coefficient is 0.30.

d. none of the above.

Describe the type of test statistic you would use and state the Null and Alternate Hypotheses. YOU DO NOT HAVE TO WORK OUT THE PROBLEMS!!

a. Beef patties for McDonalds are prepared and packaged at a processing plant and shipped frozen to the individual outlets. From past experience, it is known that the weight of individual patties is normally distributed with a mean () of 4 oz and a standard deviation( ) of .5 oz.. If a random sample of 25 patties has an average weight of 4.235 oz., should management feel the patties are not meeting weight specifications?

Type of test statistic_________________

Hypotheses: H0 _______________________

H1 _______________________

b. Suppose that an automobile manufacturer designed a radically new lightweight engine and wants to recommend the grade of gasoline to use. The four grades are regular, regular leaded, premium and super premium. The test car made 30 trial runs on the test track using each of the four grades. What test would they use to base their recommendation?

Type of test statistic_________________

Hypotheses: H0 _______________________

H1 _______________________

c. A random sample of current students at United University yields the following data:

Major MaleFemale

Business2010

Engineering15 5

Liberal Arts3020

Science3020

Use the data to determine if major is independent of sex.

Type of test statistic: _________________

Hypotheses: H0 _______________________

H1 _______________________

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