A researcher wants to estimate the proportion of the population which possesses a given
characteristic. A random sample of size 1800 is taken resulting in 450 items which
possess the characteristic. The point estimate for this population proportion is _______.
a) 0.55
b) 0.45
c) 0.35
d) 0.25
e) 0.15
If xis uniformly distributed over the interval 8 to 12, inclusively (8 x 12), then P(x< 7)
is __________________.
a) 0.500
b) 0.000
c) 0.375
d) 0.250
e) 1.000
Pate’s Pharmacy, Inc. operates a regional chain of 120 pharmacies. Each pharmacy’s
floor plan includes a greeting card department which is relatively isolated. Sandra
Royo, Marketing Manager, feels that the level of lighting in the greeting card
department may affect sales in that department. She chooses three levels of lighting
(soft, medium, and bright) and randomly assigns six pharmacies to each lighting level.
Analysis of Sandra’s data yielded the following ANOVA table.
Using
= 0.05, the observed F value is _____________.
a) 0.5022
b) 0.1333
c) 1.9911
d) 7.5000
e) 1.000
Given n = 20, s = 32, and that the population is normally distributed, the 90%
confidence interval for the population variance is ________.
a) 645.4458 1923.0986
b) 599.3635 2135.3859
c) 592.2258 2184.4685
d) 652.0129 1887.4185
e) 642.0929 3982.2989
Alan Bissell, a market analyst for City Sound Online Mart, is analyzing sales from
heavy metal song downloads. Alan’s dependent variable is annual heavy metal song
download sales (in $1,000,000’s), and his independent variables are website visitors (in
1,000’s) and type of download format requested (0 = MP3, 1 = other). Regression
analysis of the data yielded the following tables.
For a “other” download formats with 10,000 website visitors, Alan’s model predicts
annual sales of heavy metal song downloads of ________________.
a) $2,100,000
b) $524,507
c) $533,333
d) $729,683
e) $210,000
A Kruskal-Wallis test is to be performed. There will be four categories, and alpha is
chosen to be 0.10. The critical chi-square value is _______.
a) 6.251
b) 2.706
c) 7.779
d) 4.605
e) 3.234
The following ANOVA table is from a multiple regression analysis with n = 35 and four
independent variables.
The number of degrees of freedom for regression is __________.
a) 1
b) 4
c) 34
d) 30
e) 35
A researcher has developed a regression model from fourteen pairs of data points. He
wants to test if the slope is significantly different from zero. He uses a two” tailed test
and
= 0.01. The critical table t value is _______.
a) 2.650
b) 3.012
c) 3.055
d) 2.718
e) 2.168
The process of summarizing the data is called
a) inferential statistics
b) nominal data
c) descriptive statistics
d) deferential statistics
e) nonparametric statistics
Sue Taylor, Director of Global Industrial Sales, is concerned by a deteriorating sales
trend.
Specifically, the number of industrial customers is stable at 1,500, but they are
purchasing less each year. She orders her staff to search for causes of the downward
trend by selecting a focus group of 40 industrial customers. For this study, the set of 40
industrial customers is ________.
a) a parameter
b) a sample
c) the population
d) a statistic
e) the frame
Which of the following statements in not true?
a. the marginal probability uses the total possible outcomes in the denominator
b. the union probability is the probability of X or Y occurring.
c. the joint probability uses the probability of X in the denominator
d. the conditional probability uses subtotal of the possible outcomes in denominator
The table t value associated with the upper 10% of the t distribution and 23 degrees of
freedom is _______.
a) 1.319
b) 1.714
c) 2.069
d) 1.321
e) 2.332
An chart is being developed using 15 samples of size 9 each. The average
of 15 sample means is 6.20. The average of the 15 ranges is 0.30. The lower control
limit is _______________.
a) 6.301
b) 6.267
c) 6.133
d) 6.099
e) 6.312
Suppose 40% of the population of pre-teens have a TV in their bedroom. If a random
sample of 500 pre-teens is drawn from the population, then the probability that 44% or
more of the pre-teens have a TV in their bedroom is _______.
a) 0.9644
b) 0.4644
c) 0.0356
d) 0.0400
e) 0.9600
The staff of Mr. Wayne Wertz, VP of Operations at Portland Peoples Bank, prepared a
frequency histogram of waiting time for drive up ATM customers.
Approximately ____ drive up ATM customers waited at least 7 minutes.
a) 20
b) 30
c) 100
d) 180
e) 200
In regression analysis, R-squared is also called the _______.
a) residual
b) coefficient of determination
c) coefficient of correlation
d) standard error of the estimate
e) sum of squares of regression
Jessica Salas, president of Salas Products, is reviewing the warranty policy for her
company’s new model of automobile batteries. Life tests performed on a sample of 100
batteries indicated an average life of seven years under normal usage. Jessica
recommended a six-year warranty period for the new model. This is an example of
_____________.
a) descriptive statistics
b) executive forecasting
c) population derivation
d) sample persuasion
e) inferential statistics
A researcher believes that arrivals at a walk-in hair salon are Poisson distributed. The
following data represent a distribution of frequency of arrivals in a one hour time
period.
Using
= 0.10, the observed chi-square value for this goodness-of-fit test is ____.
a) 2.28
b) 14.56
c) 17.43
d) 1.68
e) 2.67
Sami Schmitt believes that number of cars arriving at his Scrub and Shine Car Wash
follow a Poisson distribution. He collected a random sample and constructed the
following frequency distribution to test his hypothesis.
The number of degrees of freedom for this goodness-of-fit test is _______.
a) 5
b) 4
c) 3
d) 2
e) 1
A goodness of fit test is to be performed to see if consumers prefer any of three package
designs (A, B, and C) more than the other two. A sample of 60 consumers is used. What
is the expected frequency for category A?
a) 1/3
b) 20
c) 60
d) 10
e) 30
Which of the following iterative search procedures for model-building in a multiple
regression analysis adds variables to model as it proceeds, but does not reevaluate the
contribution of previously entered variables?
a) Backward elimination
b) Stepwise regression
c) Forward selection
d) All possible regressions
e) Forward elimination
A recent analysis of the number of rainy days per month found the following outcomes
and probabilities.
The standard deviation of this distribution is _____________.
a) .800
b) .894
c) .400
d) 4.00
e) .457
If xis uniformly distributed over the interval 8 to 12, inclusively (8 x 12), then P(x 11)
is __________________.
a) 0.750
b) 0.000
c) 0.333
d) 0.500
e) 1.000
A random sample of 400 items from a population shows that 160 of the sample items
possess a given characteristic. A random sample of 400 items from a second population
resulted in 110 of the sample items possessing the characteristic. Using this data, a 99%
confidence interval is constructed to estimate the difference in population proportions
which possess the given characteristic. The resulting confidence interval is _______.
a) 0.06 to 0.19
b) 0.05 to 0.22
c) 0.09 to 0.16
d) 0.04 to 0.21
e) 0.05 to 0.23
A local parent group was concerned with the increasing school cost for families with
school aged children. The parent group was interested in understanding the relationship
between the academic grade level for the child and the total costs spent per child per
academic year. They performed a multiple regression analysis using total cost as the
dependent variable and academic year (x1) as the independent variables. The multiple
regression analysis produced the following tables.
For a child in grade 10 (x1= 10) the predicted value of y is ____________.
a) 707.91
b) 1,117.38
c) 856.08
d) 2,189.54
e) 1,928.24
Anita Cruz recently assumed responsibility for a large investment portfolio. She
wonders whether industry sector influences investment objective. Her staff prepared the
following contingency table from a random sample of 200 common stocks.
Using
= .05, critical chi-square value is ______________.
a) 9.21
b) 7.88
c) 15.09
d) 5.99
e) 7.89
If xis uniformly distributed over the interval 8 to 12, inclusively (8 x 12), then the
probability, P(13 x 15), is __________________.
a) 0.250
b) 0.500
c) 0.375
d) 0.000
e) 1.000
A large trucking company wants to estimate the proportion of its tracker truck
population with refrigerated carrier capacity.. A random sample of 200 tracker trucks is
taken and 30% of the sample have refrigerated carrier capacity. The 95% confidence
interval to estimate the population proportion is _______.
a) 0.53 to 0.67
b) 0.25 to 0.35
c) 0.24 to 0.36
d) 0.27 to 0.33
e) 0.28 to 0.34
Using 2011 as the base year, the 2010 value of the Paasche’ Price Index is ______.
a) 99.79
b) 192.51
c) 100.29
d) 59.19
e) 39.99
A suburban realtor is studying commuter time in the Houston metropolitan area. She
has been told the average weekday travel time from a southern suburb at 8:00am is 45
minutes. For five months she counts the number of days that it takes her more than 45
minutes to arrive in downtown when she leaves her house at 8:00am. She expects the
data are uniformly distributed across the five months. Her sample of observed data
yields the following frequencies 9 days, 15 days, 8 days, 11 days, 12 days. Using
= .
01, the appropriate decision is _______.
a) do not reject the null hypothesis that the observed distribution is uniform
b) do not reject the null hypothesis that the observed distribution is not uniform
c) reject the null hypothesis that the observed distribution is uniform
d) reject the null hypothesis that the observed distribution is not uniform
e) do nothing