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A survey of 25 randomly selected customers found the ages shown (in years). The mean is 33.04 years and the standard deviation is 8.94 years. a) Construct a 95% confidence interval for the mean age of all customers, assuming that the assumptions and conditions for the confidence interval have been met. b) How large is the margin of error? 29 41 48 16 31 38 34 22 28 30 35 44 38 39 38 25 33 26 45 25 26 46 41 15 33 A survey of 25 randomly selected customers found the ages shown (in years). The mean is 33.04 years and the standard deviation is 8.94 years. a) Construct a 95% confidence interval for the mean age of all customers, assuming that the assumptions and conditions for the confidence interval have been met. b) How large is the margin of error? c) How would the confidence interval change if you had assumed that the population standard deviation was known to be 9.0 years? 29 41 48 16 31 38 34 22 28 30 35 44 38 39 38 25 33 26 45 25 26 46 41 15 33.

A survey of 25 randomly selected customers found the ages shown (in years). The mean is 33.04
years and the standard deviation is 8.94
years.
a) Construct a 95%
confidence interval for the mean age of all customers, assuming that the assumptions and
conditions for the confidence interval have been met.
b) How large is the margin of error?
29
41
48
16
31
38
34
22
28
30
35
44
38
39
38
25
33
26
45
25
26
46
41
15
33

A survey of 25 randomly selected customers found the ages shown (in years). The mean is 33.04
years and the standard deviation is 8.94
years.
a) Construct a 95%
confidence interval for the mean age of all customers, assuming that the assumptions and
conditions for the confidence interval have been met.
b) How large is the margin of error?
c) How would the confidence interval change if you had assumed that the population standard
deviation was known to be 9.0 years?
29
41
48
16
31
38
34
22
28
30
35
44
38
39
38
25
33
26
45
25
26
46
41

15
33

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CHAPTER 8 1. Consider using the addition rule when simple outcomes are connected by the word a) and. b) if. c) but. d) or. 2. An entire set of probabilities always sums to a) some non-negative number. b) some number between zero and one. c) some positive number. d) one. 3. A random selection of registered voters within the state of Nevada guarantees that a) at least some registered voters will be selected from Reno. b) at least some registered voters will be selected from each county. c) all registered voters have an equal chance of being selected. d) all registered voters will be adequately represented. 4. The random assignment of subjects to two or more experimental groups tends to produce groups that are a) equal at the outset of the experiment. b) similar at the outset of the experiment. c) noticeably different at the outset of the experiment. d) noticeably different at the end of the experiment. 5. The probability that any offspring of alcoholic parents will be alcoholic equals .20. Therefore, assuming independent outcomes, the probability that two children of alcoholic parents both will be alcoholic equals a) .04 b) .10 c) .20 d) .40 6. Whether or not a sample is random depends entirely on the a) outcome. b) accuracy of the outcome. c) size of the sample. d) selection process. 7. Assume that in a statistics class the probability of receiving a grade of A equals .30 and the probability of receiving a grade of B equals .30. The probability that a randomly selected student from this class will receive a grade other than an A or a B equals a) .09 b) .36 c) .40 d) .91 8. Statisticians often wish to determine whether random outcomes can be viewed as either a) true or false. b) real or theoretical. c) biased or unbiased. d) common or rare. 9. Assume that in a statistics class the probability of receiving a grade of A equals .30 and the probability of receiving a grade of B equals .30. The probability that a randomly selected student from this class will receive either an A or a B equals a) .09 b) .30 c) .60 d) .90 10. Consider using the multiplication rule when simple outcomes are connected by the word a) and. b) if. c) but. d) or. CHAPTER 9 11. A random sample of 100 college students is taken from the student body of a large university Assume that, in fact, a population mean of 20 hours and a population standard deviation of 15 hours describe the weekly study estimates for the entire student body. About 68 percent of the sample means in this sampling distribution should be between a) 18.50 and 21.50 hours. b) 16.50 and 20.50 hours. c) 19 and 21 hours. d) 17 and 23 hours. 12. A random sample of 100 college students is taken from the student body of a large university Assume that, in fact, a population mean of 20 hours and a standard deviation of 15 hours describe the weekly study estimates for the entire student body. Therefore, the sampling distribution of the mean has a mean that a) approximates 20 hours. b) equals 20 hours. c) lies within a.

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1. Two normal distributions are compared. One has a mean of 10 and a standard deviation of 10. The second normal distribution has a mean of 10 and a standard deviation of 2. Which of the following is true? A) The locations of the distributions are different. B) The distributions are from two different families of distributions. C) The dispersions of the distributions are different. D) The dispersions of the distributions are the same. 2. When testing for differences between treatment means, a confidence interval is computed with __________________. A) The mean square error B) The standard deviation C) The sum of squared errors D) The standard error of the mean 3. Which symbol represents a test statistic used to test a hypothesis about a population mean? A) α B) β C) μ D) z 4. If all the plots on a scatter diagram lie on a straight line, what is the standard error of estimate? A) -1 B) +1 C) 0 D) Infinity 5. Twenty randomly selected statistics students were given 15 multiple-choice questions and 15 open-ended questions, all on the same material. The professor was interested in determining if students scored higher on the multiple-choice questions. This experiment is an example of ________________. A) A one-sample test of means B) A two-sample test of means C) A paired t-test D) A test of proportions 6. An ANOVA has three sources of variation. They are _____, _____, and _____. 7. The Intelligence Quotient (IQ) test scores for adults are normally distributed with a mean of 100 and a standard deviation of 15. What is the probability we could select a sample of 50 adults and find the mean of this sample is less than 95? A) 0.0091 B) 0.9818 C) 0.4909 D) 0.9544 8. What distribution does the F distribution approach as the sample size increases? A) Binomial B) Normal C) Poisson D) Exponential 9. A national manufacturer of unattached garages discovered that the distribution of the time for two construction workers to erect the Red Barn model is normally distributed with a mean of 32 hours and a standard deviation of 2 hours. What percent of the garages take between 32 and 34 hours to erect? A) 16.29% B) 76.71% C) 3.14% D) 34.13% 10. The F distribution is a ______________ distribution. 11. The mean weight of trucks traveling on a particular section of I-475 is not known. A state highway inspector needs an estimate of the population mean. He selects and weighs a random sample of 49 trucks and finds the mean weight is 15.8 tons. The population standard deviation is 3.8 tons. What is the 95% confidence interval for the population mean? A) 14.7 and 16.9 B) 13.2 and 17.6 C) 10.0 and 20.0 D) 16.1 and 18.1 12. A student wanted to construct a 95% confidence interval for the mean age of students in her statistics class. She randomly selected nine students. Their average age was 19.1 years with a sample standard deviation of 1.5 years. What is the best point estimate for the population mean? A) 2.1 years B) 1.5 years C) 19.1 years D) 9 years 13. The statistical.

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