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TABLE 8-4

The actual voltages of power packs labeled as 12 volts are as follows: 11.77, 11.90,

11.64, 11.84, 12.13, 11.99, and 11.77.

True or False: Referring to Table 8-4, a 95% confidence interval for the mean voltage of

the power pack is wider than a 99% confidence interval.

True or False: TABLE 17-10

Given below are results from the regression analysis where the dependent variable is

the number of weeks a worker is unemployed due to a layoff (Unemploy) and the

independent variables are the age of the worker (Age), the number of years of education

received (Edu), the number of years at the previous job (Job Yr), a dummy variable for

marital status (Married: 1 = married, 0 = otherwise), a dummy variable for head of

household (Head: 1 = yes, 0 = no) and a dummy variable for management position

(Manager: 1 = yes, 0 = no). We shall call this Model 1. The coefficient of partial

determination ( ) of each of the 6 predictors are, respectively,

0.2807, 0.0386, 0.0317, 0.0141, 0.0958, and 0.1201.

Model 2 is the regression analysis where the dependent variable is Unemploy and the

independent variables are Age and Manager. The results of the regression analysis are

given below:

Referring to Table 17-10, Model 1, we can conclude that, holding constant the effect of

the other independent variables, there is a difference in the mean number of weeks a

worker is unemployed due to a layoff between a worker who is married and one who is

not at a 1% level of significance if all we have is the information of the 95% confidence

interval estimate forÎ²4.

True or False: In data mining where huge data sets are being explored to discover

relationships among a large number of variables, the best-subsets approach is more

practical than the stepwise regression approach.

True or False: The standard error of the mean is also known as the standard deviation of

the sampling distribution of the sample mean.

TABLE 15-6

Given below are results from the regression analysis on 40 observations where the

dependent variable is the number of weeks a worker is unemployed due to a layoff (Y)

and the independent variables are the age of the worker (X1), the number of years of

education received (X2), the number of years at the previous job (X3), a dummy variable

for marital status (X4: 1 = married, 0 = otherwise), a dummy variable for head of

household (X5: 1 = yes, 0 = no) and a dummy variable for management position (X6: 1

= yes, 0 = no).

The coefficient of multiple determination ( ) for the regression model using each of

the 6 variables Xj as the dependent variable and all other X variables as independent

variables are, respectively, 0.2628, 0.1240, 0.2404, 0.3510, 0.3342 and 0.0993.

The partial results from best-subset regression are given below:

True or False: Referring to Table 15-6, the model that includes X1, X2, X5 and X6 should

be among the appropriate models using the Mallow’s Cp statistic.

True or False: Measurement error can become an ethical issue when an interviewer

purposely guides the responses in a particular direction.

True or False: TABLE 17-12

The marketing manager for a nationally franchised lawn service company would like to

study the characteristics that differentiate home owners who do and do not have a lawn

service. A random sample of 30 home owners located in a suburban area near a large

city was selected; 15 did not have a lawn service (code 0) and 15 had a lawn service

(code 1). Additional information available concerning these 30 home owners includes

family income (Income, in thousands of dollars), lawn size (Lawn Size, in thousands of

square feet), attitude toward outdoor recreational activities (Attitude 0 = unfavorable, 1

= favorable), number of teenagers in the household (Teenager), and age of the head of

the household (Age).

The Minitab output is given below:

Referring to Table 17-12, there is not enough evidence to conclude that Teenager makes

a significant contribution to the model in the presence of the other independent

variables at a 0.05 level of significance.

True or False: The difference between the sample proportion and the population

proportion is called the sampling error.

TABLE 3-1

Health care issues are receiving much attention in both academic and political arenas. A

sociologist recently conducted a survey of citizens over 60 years of age whose net

worth is too high to qualify for Medicaid. The ages of 25 senior citizens were as

follows:

Referring to Table 3-1, determine which of the following is the correct statement.

A) One fourth of the senior citizens sampled are below 65.5 years of age.

B) The middle 50% of the senior citizens sampled are between 65.5 and 73.0 years of

age.

C) The mean age of senior citizens sampled is 73.5 years of age.

D) All of the above are correct.

A realtor wants to compare the variability of sales-to-appraisal ratios of residential

properties sold in four neighborhoods (A, B, C, and D). Four properties are randomly

selected from each neighborhood and the ratios recorded for each were collected.

Which of the following tests will be the most appropriate?

A) McNemar test

B) Tukey-Kramer multiple comparisons procedure for one-way ANOVA

C) Levene’s test

D) Wilcoxon rank sum test

TABLE 18-5

A manufacturer of computer disks took samples of 240 disks on 15 consecutive days.

The number of disks with bad sectors was determined for each of these samples. The

results are in the table that follows.

Referring to Table 18-5, a p control chart is to be made for these data. The center line of

the control chart is ________.

TABLE 18-6

The maker of a packaged candy wants to evaluate the quality of her production process.

On each of 16 consecutive days, she samples 600 bags of candy and determines the

number in each day’s sample that she considers to be of poor quality. The data that she

developed follow.

Referring to Table 18-6, a p control chart is to be constructed for these data. The center

line for the chart should be located at ________.

TABLE 17-9

What are the factors that determine the acceleration time (in sec.) from 0 to 60 miles per

hour of a car? Data on the following variables for 171 different vehicle models were

collected:

Accel Time: Acceleration time in sec.

Cargo Vol: Cargo volume in cu. ft.

HP: Horsepower

MPG: Miles per gallon

SUV: 1 if the vehicle model is an SUV with Coupe as the base when SUV and Sedan

are both 0

Sedan: 1 if the vehicle model is a sedan with Coupe as the base when SUV and Sedan

are both 0

The regression results using acceleration time as the dependent variable and the

remaining variables as the independent variables are presented below.

The various residual plots are as shown below.

The coefficient of partial determination ( ) of each of the 5

predictors are, respectively, 0.0380, 0.4376, 0.0248, 0.0188, and 0.0312.

The coefficient of multiple determination for the regression model using each of the 5

variables Xj as the dependent variable and all other X variables as independent variables

( ) are, respectively, 0.7461, 0.5676, 0.6764, 0.8582, 0.6632.

Referring to Table 17-9, what is the correct interpretation for the estimated coefficient

for HP?

A) As the horsepower increases by one unit, the mean 0 to 60 miles per hour

acceleration time will decrease by an estimated 0.0200 seconds without taking into

consideration all the other independent variables included in the model.

B) As the 0 to 60 miles per hour acceleration time increases by one second, the mean

horsepower will decrease by an estimated 0.0200 unit without taking into consideration

all the other independent variables included in the model.

C) As the horsepower increases by one unit, the mean 0 to 60 miles per hour

acceleration time will decrease by an estimated 0.0200 seconds taking into

consideration all the other independent variables included in the model.

D) As the 0 to 60 miles per hour acceleration time increases by one second, the mean

horsepower will decrease by an estimated 0.0200 unit taking into consideration all the

other independent variables included in the model.

TABLE 16-11

The manager of a health club has recorded mean attendance in newly introduced step

classes over the last 15 months: 32.1, 39.5, 40.3, 46.0, 65.2, 73.1, 83.7, 106.8, 118.0,

133.1, 163.3, 182.8, 205.6, 249.1, and 263.5. She then used Microsoft Excel to obtain

the following partial output for both a first- and second-order autoregressive model.

SUMMARY OUTPUT – 2nd Order Model

SUMMARY OUTPUT – 1st Order Model

Referring to Table 16-11, using the first-order model, the forecast of mean attendance

for month 17 is ________.

In a local cellular phone area, company A accounts for 60% of the cellular phone

market, while company B accounts for the remaining 40% of the market. Of the cellular

calls made with company A, 1% of the calls will have some sort of interference, while

2% of the cellular calls with company B will have interference. If a cellular call is

selected at random, the probability that it will not have interference is

A) 0.014.

B) 0.028.

C) 0.14.

D) 0.986.

Using the best-subsets approach to model building, models are being considered when

their

A) Cp > k.

B) Cpk.

C) Cp > (k + 1).

D) Cp (k + 1).

You have collected data on the number of complaints for 6 different brands of

automobiles sold in the United States over a 10-year period. Which of the following is

the best for presenting the data?

A) a contingency table

B) a stem-and-leaf display

C) a time-series plot

D) a side-by-side bar chart

A manager of a product sales group believes the number of sales made by an employee

depends on how many years that employee has been with the company and how he/she

scored on a business aptitude test. A random sample of 38 employees was selected to

collect data on their number of sales, number of years with the company and scores on a

business aptitude test. Which of the following would you perform to draw a conclusion

on the belief?

A) One-way ANOVA

B) Simple linear regression

C) Two-way ANOVA

D) Multiple linear regression

Simple probability is also called

A) marginal probability.

B) joint probability.

C) conditional probability.

D) Bayes’ theorem.

TABLE 11-7

A campus researcher wanted to investigate the factors that affect visitor travel time in a

complex, multilevel building on campus. Specifically, he wanted to determine whether

different building signs (building maps versus wall signage) affect the total amount of

time visitors require to reach their destination and whether that time depends on

whether the starting location is inside or outside the building. Three subjects were

assigned to each of the combinations of signs and starting locations, and travel time in

seconds from beginning to destination was recorded. An Excel output of the appropriate

analysis is given below:

ANOVA

Referring to Table 11-7, at 10% level of significance,

A) there is sufficient evidence to conclude that the difference between the mean

traveling time for the different starting locations depends on the types of signs.

B) there is insufficient evidence to conclude that the difference between the mean

traveling time for the different types of signs depends on the starting locations.

C) there is sufficient evidence to conclude that the difference between the mean

traveling time for the different starting locations does not depend on the types of signs.

D) None of the above.

Referring to Table 14-3, the p-value for the aggregated price index is

TABLE 14-3

An economist is interested to see how consumption for an economy (in $ billions) is

influenced by gross domestic product ($ billions) and aggregate price (consumer price

index). The Microsoft Excel output of this regression is partially reproduced below.

A) 0.05.

B) 0.01.

C) 0.001.

D) None of the above.

The chancellor of a major university was concerned about alcohol abuse on her campus

and wanted to find out the proportion of students at her university who visited campus

bars on the weekend before the final exam week. Her assistant took a random sample of

250 students. The portion of students in the sample who visited campus bars on the

weekend before the final exam week is an example of

A) a summary table.

B) an ogive.

C) a parameter.

D) a statistic

A buyer for a manufacturing plant suspects that his primary supplier of raw materials is

overcharging. In order to determine if his suspicion is correct, he contacts a second

supplier and asks for the prices on various identical materials. He wants to compare

these prices with those of his primary supplier. He collected data on 6 different

materials from both suppliers. He believes that the differences are normally distributed.

Which of the following tests will be the most appropriate?

A) Pooled-variance t test

B) Paired t test

C) Wilcoxon rank sum test

D) McNemar test

TABLE 19-1

The following payoff table shows profits associated with a set of 3 alternatives under 2

possible states of nature

Referring to Table 19-1, if the probability of S1 is 0.5, then the EVPI for the payoff

table is

A) -3.

B) 3.

C) 8.

D) 11.

The manager of the customer service division of a major consumer electronics company

is interested in determining whether the customers who have purchased a Blu-ray

player made by the company over the past 12 months are satisfied with their products.

The population of interest is

A) all the customers who have bought a Blu-ray player made by the company over the

past 12 months.

B) all the customers who have bought a Blu-ray player made by the company and

brought it in for repair over the past 12 months.

C) all the customers who have used a Blu-ray player over the past 12 months.

D) all the customers who have ever bought a Blu-ray player made by the company.

TABLE 4-11

A sample of 300 adults is selected. The contingency table below shows their registration

status and their preferred source of information on current events.

Referring to Table 4-11, if an adult is selected at random, what is the probability that

he/she is a registered voter?

TABLE 17-10