Golf course designer Roberto Langabeer is evaluating two sites, Palmetto Dunes and
Ocean Greens, for his next golf course. He wants to prove that Palmetto Dunes
residents (population 1) play golf more often than Ocean Greens residents (population
2). Roberto commissions a market survey to test this hypothesis. The market researcher
used a random sample of 64 individuals from each suburb, and reported the following:
1= 15 times per month and 2= 14 times per month. Assume that
1= 2 and 2= 3. With a= .01, the observed zvalue is
_________________.
a) 2.22
b) 12.81
c) 4.92
d) 3.58
e) 1.96
If x has a binomial distribution with p = .5, then the distribution of x is ________.
a) skewed to the right
b) skewed to the left
c) symmetric
d) a Poisson distribution
e) a hypergeometric distribution
A researcher is interested in estimating the difference in two population proportions. A
sample of 400 from each population results in sample proportions of .61 and .64. The
point estimate of the difference in the population proportions is _______.
a) -0.030
b) 0.625
c) 0.000
d) 0.400
e) 0.500
Meagan Dubean manages a portfolio of 200 common stocks. Her staff classified the
portfolio stocks by ‘industry sector’ and ‘investment objective.’
If a stock is selected randomly from Meagan’s portfolio, P (Growth) = _______.
a) 0.50
b) 0.83
c) 0.67
d) 0.75
e) 0.90
Sam Hill, Director of Media Research, is analyzing subscribers to the
TravelWorldmagazine. He wonders whether subscriptions are influenced by the head of
household’s highest degree earned. His staff prepared the following contingency table
from a random sample of 300 households.
Sam’s null hypothesis is ______________.
a) “head of household classification” is related to “subscribes”
b) “head of household classification” is not independent of “subscribes”
c) “head of household classification” is independent of “subscribes”
d) “head of household classification” influences “subscribes”
e) “clerical is not related to managerial”
The following ANOVA table is from a multiple regression analysis.
The sample size for the analysis is __________.
a) 30
b) 26
c) 3
d) 29
e) 31
Using a three-month moving average (with weights of 6, 3, and 1 for the most current
value, next most current value and oldest value, respectively), the forecast value for
November in the following time series is ____________.
a) 11.60
b) 10.00
c) 9.67
d) 8.06
e) 8.60
An R Chart is to be developed for use in quality control. The average of the ranges is
calculated to be 0. 45. The sample sizes were 9 each. What would the upper control
limit be?
a) 0.8172
b) 0.6012
c) 0.0828
d) 0.1566
e) 0.7434
The following residuals plot indicates _______________.
a) a nonlinear relation
b) a nonconstant error variance
c) the simple regression assumptions are met
d) the sample is biased
e) a random sample
Sarah Soliz, Director of Quality Programs, is designing and R charts for the
rod shearing process at Stockton Steel. She has 26 samples of rod length, and each
sample included measurements of 5 rods. The mean of the 26 sample means is 112
inches, and mean of the 26 ranges is 0.15 inch. The upper control limit for her
chart is ________.
a) 112.09
b) 5.087
c) 26.087
d) 115.90
e) 110.09
Suppose a population has a mean of 450 and a variance of 900. If a random sample of
size 100 is drawn from the population, the probability that the sample mean is between
448 and 453 is _______.
a) 0.4972
b) 0.6826
c) 0.4101
d) 0.5899
e) 0.9878
From the following scatter plot, we can say that between y and x there is _______.
a) perfect positive
correlation
b) virtually no
correlation
c) positive correlation
d) negative correlation
e) perfect negative correlation
Which of the following operations is meaningful for processing ordinal data, but is
meaningless for processing nominal data?
a) Addition
b) Multiplication
c) Ranking
d) Counting
e) Division
A random sample of 64 items is selected from a population of 400 items. The sample
mean is 200. The population standard deviation is 48. From this data, a 95% confidence
interval to estimate the population mean can be computed as _______.
a) 189.21 to 210.79
b) 188.24 to 211.76
c) 190.13 to 209.87
d) 190.94 to 209.06
e) 193.45 to 211.09
An automobile dealer wishes to investigate the relation between the gender of the buyer
and type of vehicle purchased. Based on the following joint probability table that was
developed from the dealer’s records for the previous year, P (SUV) = ___________.
a) 0.30
b) 0.40
c) 0.12
d) 0.10
e) 0.60
An “all possible regressions” search of a data set containing 8 independent variables
will produce ______ regressions.
a) 8
b) 15
c) 256
d) 64
e) 255
Elwin Osbourne, CIO at GFS, Inc., is studying employee use of GFS e-mail for
non-business communications. He plans to use a 95% confidence interval estimate of
the proportion of e-mail messages that are non-business; he will accept a 0.05 error.
Previous studies indicate that approximately 30% of employee e-mail is not business
related. Elwin should sample _______ e-mail messages.
a) 323
b) 12
c) 457
d) 14
e) 100
Data from a randomized block design are shown in the following table.
Using
= 0.05, the critical F value for the blocking effects null hypothesis is ___.
a) 3.59
b) 4.76
c) 3.98
d) 5.14
e) 6.54
The expected monetary value without information is $60, and the expected monetary
payoff with perfect information is $120. The expected value of perfect information is
__.
a) $60
b) $2
c) $180
d) $0.50
e) $120
Cindy Ho, VP of Finance at Discrete Components, Inc. (DCI), theorizes that the
discount level offered to credit customers affects the average collection period on credit
sales. Accordingly, she has designed an experiment to test her theory using four sales
discount rates (0%, 2%, 4%, and 6%). First, she classified DCI’s credit customers into
three categories by total assets (small, medium, and large). Then, she randomly
assigned four customers from each category to a sales discount rate. In Cindy’s
experiment “sales discount rate” is ________.
a) a surrogate variable
b) the dependent variable
c) a blocking variable
d) a treatment variable
e) a constant
In multiple regression analysis, qualitative variables are sometimes referred to as ___.
a) dummy variables
b) quantitative variables
c) dependent variables
d) performance variables
e) cardinal variables
Consider the following sample space, S, and several events defined on it. S = {Albert,
Betty, Abel, Jack, Patty, Meagan}, and the events are: F = {Betty, Patty, Meagan}, H =
{Abel, Meagan}, and P = {Betty, Abel}. F H is ___________.
a) {Meagan}
b) {Betty, Patty, Abel, Meagan}
c) empty, since F and H are complements
d) empty, since F and H are independent
e) empty, since F and H are mutually exclusive
Suppose 5% of the population have a certain disease. A laboratory blood test gives a
positive reading for 95% of people who have the disease and 10% positive reading of
people who do not have the disease. . What is the probability of testing positive?
a) 0.0475
b) 0.1425
c) 0.95
d) 0.9
e) 0.3333
A small restaurant owner believes at least 36 % of his customers would be willing to
order take out service if it were available. He is interested in surveying his customer
base. He intends to use the following null and alternative hypotheses.
Ho: p 0.36
Ha: p< 0.36
These hypotheses _______________.
a) indicate a one-tailed test with a rejection area in the right tail
b) indicate a one-tailed test with a rejection area in the left tail
c) indicate a two-tailed test
d) are established incorrectly
e) are not mutually exclusive
Linear regression models cannot be used to analyze quadratic trends in time-series data.
Consider the following decision table with rewards in $ millions.
The opportunity loss for the combination “S2” and “d1” is ________.
a) 9
b) 5
c) 3
d) 0
e) -1
A contingency table is to be used to test for independence. There are 3 rows and 3
columns in the table. How many degrees of freedom are there for this problem?
a) 6
b) 5
c) 4
d) 3
e) 1
Ray Crofford is evaluating investment alternatives to invest $100,000 which he
inherited from his grandfather. His investment advisor has identified four alternatives
and constructed the following payoff table which shows expected profits (in $10,000’s)
for various market conditions.
If Ray uses the maximax criterion, the appropriate choice would be ________.
a) T-Bills
b) Stocks
c) Bonds
d) Mixture
e) None
The staff of Mr. Wayne Wertz, VP of Operations at Portland Peoples Bank, prepared a
cumulative frequency ogive of waiting time for walk-in customers.
The total number of walk-in customers included in the study was _________.
a) 100
b) 250
c) 300
d) 450
e) 500
Inspection of the following table of correlation coefficients for variables in a multiple
regression analysis reveals potential multicollinearity with variables ___________.
a) x1and x5
b) x2and x3
c) x4and x2
d) x4and x3
e) x4and y
The ages of students in a class have been put into the frequency distribution below.
What is the median age of these students?
a) 18
b) 19
c) 19.5
d) 20
e) 20.5