1) A researcher examines the records of all the registered voters in one city and finds that

43% are registered Democrats.

A)Parameter

B) Statistic

C) Population

D) Variable

Find the indicated percentile.

2) The weights (in pounds) of 30 newborn babies are listed below. Find 16th percentile.

5.5 5.7 5.8 5.9 6.1 6.1 6.4 6.4 6.5 6.6

6.7 6.7 6.7 6.9 7.0 7.0 7.0 7.1 7.2 7.2

7.4 7.5 7.7 77 78 80 81 8.1 8.3 8.7

A) 4.8

B) 6.1

C) 5.8

D) 5.9

Find the median for the given sample data.

3) 1.6, 2.5, 3.2, 1.0, 1.2, 3.5, 1.8, 3.4, 2.3, 2.6, 1.8

A) 2.25

B) 2.20

C) 2.3

D) 1.8

Calculate sample variance.

4) Calculate sample variance of SAT test results with following scores:

994, 1152, 1268, 1426, 1232, 1088. Round your answer to the nearest integer.

A) 22748

B) 138

C) 18957

D) 151

Find standard deviation.

5) Find standard deviation for sample of test scores from a Biology class with following data:

78, 64, 82, 91, 68, 71, 86, 60. State your answer to one decimal place.

A) 105.8

B) 11.0

C) 10.3

D) 120.9

Find z-score.

6) Scores on a history test have an average of 76 with standard deviation of 5. What is the

z-score for a student who earned a 84 on the test? State your answer to two decimal

place.

A) 2.60

B -2.60

C) -1.60

D) 1.60

Find the area under the standard normal curve.

7) Find the area under the standard normal curve to the left of z = -0.76. State your answer

to four decimal places.

A) -0.2236

B) 0.2236

C) -0.7764

D) 0.7764

Find the indicated probability.

8) If you pick a card at random from a well shuffled deck, what is the probability that you get a face card or a spade?

A) 17/52

B) 9/26

C) 4/13

D) 11/26

9) The table below describes the smoking habits of a group of asthma sufferers.

Nonsmoker/ Occasional Smoker/ Regular Smoker/ Heavy Smoker :Total

Men: 353/ 33/ 65/ 37/ 488

Women: 352/ 41/ 78/ 31/ 502

Total: 705/ 74/ 143/ 68/ 990

If one of the 990 people is randomly selected, find the probability that the person is a man or a heavy smoker.

A) 0.487

B) 0.562

C) 0.524

D) 0.544

10) A manufacturing process has a 80% Yield, meaning that 80% of the products are

acceptable and 20% are defective. If three of the products are randomly selected, find

the probability that all of them are acceptable.

A) 0.634

B) 0.512

C) 0.096

D) 1.4

Determine whether the given procedure results in a binomial distribution. If not, state the reason why.

11) Rolling a single die 34 times, keeping track of the "fives" rolled

A) Not binomial: there are too many trials.

B) Not binomial: there are more than two outcomes for each trial.

C) Procedure results in a binomial distribution.

D) Not binomial: the trials are not independent.

Find the indicated probability.

12) An IRS auditor randomly selects 3 tax returns from 59 returns of which 13 contain errors.

What is the probability that she selects none of those containing errors?

A) 0.4669

B) 0.4739

C) 0.0088

D) 0.0107

13) What is the probability that 6 rolls of a fair die will show exactly three fives?

A) 0.0286

B) 0.0322

C) 0.0154

D) 0.0536

Assume that X has a normal distribution, and find the indicated probability.

14) The mean is u = 40.0 and the standard deviation o = 12.0.

Find P(X < 54.0).

A) 0.3409

B) 0.8790

C) 0.4247

D) 0.6443

Find point estimate.

15) A sample of 5 sheets of cardstock is randomly selected and the following thickness are measured in millimeters. Give a point estimate for the population variance. Round your answer to three decimal places.

1.15, 1.24, 1.15, 1.27, 1.13

A) 0.004

B) 0.041

C) 1.034

D) 1.022

Find the indicated probability.

16) in a certain college, 36% of the physics majors belong to ethnic minorities. If 15 students

are selected at random from the physics majors, that is the probability that no more than

8 belong to an ethnic minority?

A) 0.0984

B) 0.9746

C) 0.9496

D) 0.2146

Solve the problem.

17 The weights of the fish in a certain lake are normally distributed with a mean of 13 lb and

a standard deviation of 6. If 4 fish are randomly selected, what is the probability that

the mean weight will be between 10.6 and 16.6 Ib?

A) 0.0968

B) 0.6730

C) 0.4032

D) 0.3270

Answer the question.

18) An online retailer wishes to estimate the proportion of people on a large mailing list that will purchase a product. Suppose the true proportion is 0.08. If 228 are sampled, what is the probability that the sample proportion will differ from the population proportion by greater than 0.04? Round your answer to four decimal places.

A) 0.9742

B) 0.0708

C) 0.9292

D) 0.0258

19) Using traditional methods, it takes 9.9 hours to receive a basic driving license. A new license training method using Computer Aided Instruction (CAl) has been proposed. A researcher used the technique with 13 students and observed that they had a mean of 9.8 hours with a standard deviation of standard deviation of 1.5. A level of significance of 0.05 will be used to determine if the technique performs differently than the traditional method. Assume the population distribution is approximately normal. State the null and alternative hypotheses.

A) H0 : u = 9.9, Ha : u not equal 9.9

B) H0 : u = 9.2, Ha : u not equal 9.2

C) H0 : u = 8.8, Ha : u not equal 8.8

D) H0: u = 8.1, Ha : u not equal 8.21

Find the value of the chi-square test statistic for the goodness-of-fit test.

20) You wish to test the claim that workplace accidents are distributed on workdays as follows: Monday: 25%, Tuesday: 15%, Wednesday: 15%, Thursday: 15%, Friday: 30%. In a study of 100 workplace accidents, 22 occurred on a Monday, 14 occurred on a Tuesday, 17 occurred on a Wednesday, 17 occurred on a Thursday, and 30 occurred on a Friday. What is the value of the x2 test statistic? The observed frequencies and the expected frequencies are shown below.

Observed Frequency (O) : 22, 14, 17, 17, 30

Expected Frequency (E) : 25, 15, 15, 15, 30

A) X2 = 0.951

B) X2 = 6

C) X2 = 0.96

D) X2 = 2.571