Download Basic Statistics a First Course, 4ed

TEST ITEM FILE
Pin Ng
Northern Arizona University
BUSINESS STATISTICS
A FIRST COURSE
5e
David M. Levine
Timothy C. Krehbiel
Mark L. Berenson
Upper Saddle River, New Jersey 07458
VP/Editorial Director: Sally Yagan
Acquisitions Editor: Mark Pfaltzgraff
Assistant Editor: Susie Abraham
Production Editor: Kerri Tomasso
Buyer: Benjamin Smith
Copyright © 2008 by Pearson Education, Inc., Upper Saddle River, New Jersey, 07458.
Pearson Prentice Hall. All rights reserved. Printed in the United States of America. This publication is protected by
Copyright and permission should be obtained from the publisher prior to any prohibited reproduction, storage in a
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likewise. For information regarding permission(s), write to: Rights and Permissions Department.
This work is protected by United States copyright laws and is provided solely for the use of instructors in teaching
their courses and assessing student learning. Dissemination or sale of any part of this work (including on the World
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of other instructors who rely on these materials.
Pearson Prentice HallTM is a trademark of Pearson Education, Inc.
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ISBN-13: 978-0-13-606581-4
ISBN-10:
0-13-606581-3
ii
Table of Contents
Preface
vii
Keywords Index
ix
Chapter 1
Introduction and Data Collection
1
Chapter 2
Presenting Data in Tables and Charts
29
Chapter 3
Numerical Descriptive Measures
74
Chapter 4
Basic Probability
101
Chapter 5
Discrete Probability Distributions
136
Chapter 6
The Normal Distribution
162
Chapter 7
Sampling and Sampling Distributions
188
Chapter 8
Confidence Interval Estimation
225
Chapter 9
Fundamentals of Hypothesis Testing: One-Sample Tests
265
Chapter 10
Two-Sample Tests and One-Way ANOVA
300
Chapter 11
Chi-Square Tests
365
Chapter 12
Simple Linear Regression
393
Chapter 13
Multiple Regression
443
Chapter 14
Statistical Applications in Quality and Production Management
500
iii
Preface
The Test Item File contains a variety of multiple-choice, true-false, problem and fill-in questions based
on the definitions, concepts, and ideas developed in each chapter. In addition, numerical problems and
Microsoft Excel computer output problems are also given with solutions provided in multiple-choice,
true-false, problem and fill-in format.
The Test Item File is intended to assist instructors in preparing examinations. The questions included
herein highlight the key topics covered throughout each chapter. Keywords are available after each
question to help instructors locate questions on a specific topic or concept. Explanation is provided when
the rationale of the correct answer to a difficult question is rather obscure. The format for the Test Item
File will facilitate grading and should be helpful to instructors who teach very large sections.
The intended difficulty level (easy, moderate, difficult) of each question in the Test Item File is stated in
order to facilitate test item selection by instructors wishing to create specific types of exams. However,
some words of caution must be given. The classification of question difficulty level is very subjective
and each question should be evaluated based on the emphasis the particular topic was given in class and
how much emphasis is to be given to numerical results obtained by calculator rather than computerized
results obtained from Microsoft Excel. As an operational definition that is used here, items are classified
as easy if they pertain directly to definitions and fundamental concepts. Test items are classified as
moderate if they require some numerical calculations with more than a minimal number of steps or if they
require a broader understanding of the topic. Test items that are classified as difficult are done so because
of the level of rigor of the subject, the length of the narrative, the amount of effort required for solution,
or for responses that require more thought and analysis.
Instructors are also advised that all answers in the Test Item File are computed using Microsoft Excel or
PHStat with no rounding involved in the intermediate steps. If students use rounding with formulae and a
calculator, their answers might be different from those provided in the answer keys. Likewise, if students
use the statistical tables at the end of the book instead of Microsoft Excel or PHStat, their answers might
also differ from those provided in the answer keys due to rounding. Whenever possible, we provide
answers obtained using both Microsoft Excel/PHStat and the statistical tables if they are different.
This Test Item File and others that are similar suffer from one major weakness. They do not permit an
evaluation of the students’ written communication skill. The authors highly recommend that, if possible,
instructors who use this Test Item File supplement it with at least one short essay type question so that an
assessment can be made of the students’ understanding of concepts as well as how they can make
connections across various topics.
The following tabular display is a breakdown of the number of questions in each chapter by type.
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Chapter
Multiple
Choice
True/False
Fill in
Problem
1
48
42
40
0
130
2
51
32
83
18
184
3
27
33
31
38
129
4
60
19
38
37
154
5
21
13
47
41
122
6
16
14
43
48
121
7
44
65
39
31
179
8
29
105
27
21
182
9
70
57
16
7
150
10
109
51
57
53
270
11
45
31
31
6
113
12
78
33
59
28
198
13
102
51
42
18
213
14
44
24
35
10
113
Total
744
582
588
368
2282
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Total
Keywords Index
A
a priori classical probability
A2 factor
addition rule
adjusted coefficient of determination
adjusted r-square
assumption
autocorrelation
control limit
convenience sample
counting rule
coverage error
critical value
cumulative frequency distribution
cumulative percentage distribution
cumulative percentage polygon (ogive)
cumulative relative frequency
B
D
bar chart
Bayes' theorem
beta-risk
binomial distribution
box-and-whisker plot
d2 factor
D3 factor
D4 factor
data
decision
degrees of freedom
Deming's 14 points
descriptive statistics
deviance statistic
difference between two means
difference between two proportions
difference between two variances
discrete random variable
dummy variable
Durbin-Watson statistic
C
categorical random variable
center line
central limit theorem
Chebyshev rule
chi-square test
Chi-square test for difference in proportions
Chi-square test of independence
chunk sample
class boundaries
class interval
class midpoint
cluster sample
coefficient of correlation
coefficient of determination
coefficient of multiple determination
coefficient of variation
collective exhaustive
column percentages
combination
common causes of variation
complement
completely randomized design
conclusion
conditional probability
confidence coefficient
confidence interval
contingency table
continuity adjustment
continuous random variable
control chart
E
empirical classical probability
empirical rule
estimation
estimation of mean values
ethical issues
F
F distribution
F test
F test for factor
F test on slope
F test on the entire regression
fitted value
five-number summary
form of hypothesis
frame
frequency distribution
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H
one-sided
one-tailed test
one-way analysis of variance
ordinal scale
outcomes
histogram
homoscedasticity
I
P
inferential statistics
interaction
intercept
interpretation
interquartile range
interval scale
p chart
Pareto diagram
parameter
percentage distribution
percentage polygon
permutation
pie chart
point estimate
Poisson distribution
polygon
pooled variance
population
power
prediction interval
prediction of individual values
primary data sources
probability
probability distribution
probability sample
properties
proportion
p-value
J
joint probability
judgment sample
L
law of large number
learning statistical programs
least squares
level of significance
Levene's test
M
marginal probability
mean (expected value)
mean difference
mean of the sum
mean squares
measure of variation
measurement error
measure of central tendency
median
mode
multiplication rule
mutually exclusive
Q
quadratic regression
quartile
quota sample
R
R chart
random number
range
ratio scale
reasons for learning statistics
reasons for sampling
red bead experiment
rejection region
relative frequency distribution
residual
residual plot
resistant to outliers
risk
N
nonprobability sample
nonresponse error
normal distribution
normal probability plot
number of classes
O
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robust test
row percentages
two-tailed test
type I error
type II error
types of data
S
U
sample
sample size
sample size determination
sample space
sampling
sampling distribution
sampling error
sampling method
sampling with replacement
sampling without replacement
scatter plot
secondary data sources
selection bias
shape
Shewhart Deming cycle
simple random sample
six sigma management
slope
sources of data
special causes of variation
standard deviation
standard error
standard error of estimate
standard normal quantile
standardized normal distribution
statistic
statistical control
statistical independence
statistical package
statistics
stem-and-leaf display
stratified sample
subjective probability
sum of squares
survey worthiness
systematic sample
unbiased
V
value
variance
variance of sum
variation
W
width
X
XBar chart
Z
Z scores
Z test
T
t distribution
t test
t test for correlation coefficient
t test on slope
test statistic
testing
total percentages
Tukey-Kramer procedure
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