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Examen

Solutions Manual – Elementary Statistics, 9th Edition – Neil A. Weiss – ISBN 9780137665723 (Full Chapters 1–14 Covered)

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This comprehensive Solutions Manual provides verified, step-by-step mathematical answers and detailed analytical work for all exercises, review problems, and case studies within Elementary Statistics, 9th Edition by Neil A. Weiss (ISBN 9780137665723). The material includes complete solutions for Chapter 1 The Nature of Statistics, Chapter 2 Organizing Data, Chapter 3 Descriptive Measures, Chapter 4 Descriptive Methods in Regression and Correlation, Chapter 5 Probability and Random Variables, Chapter 6 The Normal Distribution, Chapter 7 The Sampling Distribution of the Sample Mean, Chapter 8 Confidence Intervals for One Population Mean, Chapter 9 Hypothesis Tests for One Population Mean, Chapter 10 Inferences for Two Population Means, Chapter 11 Inferences for Population Proportions, Chapter 12 Chi-Square Procedures, Chapter 13 Analysis of Variance (ANOVA), and Chapter 14 Inferential Methods in Regression and Correlation.

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Elementary Statistics
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9th Edition
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SOLUTIONS
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MANUAL
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Neil A. Weiss
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Comprehensive Solutions Manual for Instructors
and Students
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9780137665723
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© Neil A. Weiss. All rights reserved. Reproduction or distribution
without permission is prohibited.




© MEDGEEK

, TABLE OF CONTENTS

Solutions Manual – Elementary Statistics (9th Edition)
Author: Neil A. Weiss
ISBN: 9780137665723
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PART I: INTRODUCTION AND DESCRIPTIVE STATISTICS

Chapter 1: The Nature of Statistics
Chapter 2: Organizing Data
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Chapter 3: Descriptive Measures
Chapter 4: Descriptive Methods in Regression and Correlation
PART II: PROBABILITY AND THE NORMAL DISTRIBUTION

Chapter 5: Probability and Random Variables
Chapter 6: The Normal Distribution
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PART III: STATISTICAL INFERENCE FOR ONE POPULATION

Chapter 7: The Sampling Distribution of the Sample Mean
Chapter 8: Confidence Intervals for One Population Mean
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Chapter 9: Hypothesis Tests for One Population Mean
PART IV: STATISTICAL INFERENCE FOR TWO POPULATIONS AND PROPORTIONS

Chapter 10: Inferences for Two Population Means
Chapter 11: Inferences for Population Proportions
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PART V: ANALYSIS OF VARIANCE AND CHI-SQUARE

Chapter 12: Chi-Square Procedures
Chapter 13: Analysis of Variance (ANOVA)
PART VI: INFERENTIAL REGRESSION
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Chapter 14: Inferential Methods in Regression and Correlation
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, 1

CHAPTER 1 SOLUTIONS
Exercises 1.1
1.1 (a) The population is the collection of all individuals or items under
consideration in a statistical study.
(b) A sample is that part of the population from which information is
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obtained.
1.2 The two major types of statistics are descriptive and inferential
statistics. Descriptive statistics consists of methods for organizing and
summarizing information. Inferential statistics consists of methods for
drawing and measuring the reliability of conclusions about a population
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based on information obtained from a sample of the population.
1.3 Descriptive methods are used for organizing and summarizing information and
include graphs, charts, tables, averages, measures of variation, and
percentiles.
1.4 Descriptive statistics are used to organize and summarize information from a
sample before conducting an inferential analysis. Preliminary descriptive
analysis of a sample may reveal features of the data that lead to the
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appropriate inferential method.
1.5 (a) An observational study is a study in which researchers simply observe
characteristics and take measurements.
(b) A designed experiment is a study in which researchers impose treatments
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and controls and then observe characteristics and take measurements.
1.6 Observational studies can reveal only association, whereas designed
experiments can help establish causation.
1.7 This study is inferential. Data from a sample of Americans are used to make
an estimate of (or an inference about) average TV viewing time for all
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Americans.
1.8 This study is descriptive. It is a summary of the average salaries in
professional baseball, basketball, and football for 2005 and 2011.
1.9 This study is descriptive. It is a summary of information on all homes sold
in different cities for the month of September 2012.
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1.10 This study is inferential. National samples are used to make estimates of
(or inferences about) drug use throughout the entire nation.
1.11 This study is descriptive. It is a summary of the annual final closing
values of the Dow Jones Industrial Average at the end of December for the
years 2004-2013.
1.12 This study is inferential. Survey results were used to make percentage
estimates on which college majors were in demand among U.S firms for all
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graduating college students.
1.13 (a) This study is inferential. It would have been impossible to survey all
U.S. adults about their opinions on Darwinism. Therefore, the data
must have come from a sample. Then inferences were made about the
opinions of all U.S. adults.
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(b) The population consists of all U.S. adults. The sample consists only
of those U.S. adults who took part in the survey.
1.14 (a) The population consists of all U.S. adults. The sample consists of the
1000 U.S. adults who were surveyed.
(b) The percentage of 50% is a descriptive statistic since it describes the
opinion of the U.S. adults who were surveyed.
1.15 (a) The statement is descriptive since it only tells what was said by the
respondents of the survey.

Copyright © 2016 Pearson Education, Inc.

, 2 Chapter 1

(b) Then the statement would be inferential since the data has been used to
provide an estimate of what all Americans believe.
1.16 (a) To change the study to a designed experiment, one would start with a
randomly chosen group of men, then randomly divide them into two
groups, an experimental group in which all of the men would have
vasectomies and a control group in which the men would not have them.
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This would enable the researcher to make inferences about vasectomies
being a cause of prostate cancer.
(b) This experiment is not feasible, since, in the vasectomy group there
would be men who did not want one, and in the control group there would
be men who did want one. Since no one can be forced to participate in
the study, the study could not be done as planned.
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1.17 Designed experiment. The researchers did not simply observe the two groups
of children, but instead randomly assigned one group to receive the Salk
vaccine and the other to get a placebo.
1.18 Observational study. The researchers at Harvard University and the National
Institute of Aging simply observed the two groups.
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1.19 Observational study. The researchers simply collected data from the men and
women in the study with a questionnaire.
1.20 Designed experiment. The researchers did not simply observe the two groups
of women, but instead randomly assigned one group to receive aspirin and the
other to get a placebo.
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1.21 Designed experiment. The researchers did not simply observe the three
groups of patients, but instead randomly assigned some patients to receive
optimal pharmacologic therapy, some to receive optimal pharmacologic therapy
and a pacemaker, and some to receive optimal pharmacologic therapy and a
pacemaker-defibrillator combination.
1.22 Observational studies. The researchers simply collected available
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information about the starting salaries of new college graduates.
1.23 (a) This statement is inferential since it is a statement about all
Americans based on a poll. We can be reasonably sure that this is the
case since the time and cost of questioning every single American on
this issue would be prohibitive. Furthermore, by the time everyone
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could be questioned, many would have changed their minds.
(b) To make it clear that this is a descriptive statement, the new
statement could be, “Of 1032 American adults surveyed, 73% favored a
law that would require every gun sold in the United States to be test-
fired first, so law enforcement would have its fingerprint in case it
were ever used in a crime.” To rephrase it as an inferential
statement, use “Based on a sample of 1032 American adults, it is
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estimated that 73% of American adults favor a law that would require
every gun sold in the United States to be test-fired first, so law
enforcement would have its fingerprint in case it were ever used in a
crime.”
1.24 Descriptive statistics. The U.S. National Center for Health Statistics
collects death certificate information from each state, so the rates shown
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reflect the causes of all deaths reported on death certificates, not just a
sample.
1.25 (a) The population consists of all Americans between the ages of 18 and 29.
(b) The sample consists only of those Americans who took part in the survey.
(c) The statement in quotes is inferential since it is a statement about
all Americans based on a survey.
(d) “Based on a sample of Americans between the ages of 18 and 29, it is
estimated that 59% of Americans oppose medical testing on animals.”
Copyright © 2016 Pearson Education, Inc.

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