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Statistical Reasoning for Everyday Life 5th Edition | Bennett, Briggs & Triola Study Guide, Summary & Exam Prep

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Master statistics the easy way with this complete study guide for Statistical Reasoning for Everyday Life, 5th Edition — clear, step-by-step notes designed to simplify concepts and boost exam performance! Simplify statistics with this complete study guide for Statistical Reasoning for Everyday Life, 5th Edition by Jeff Bennett, William Briggs, and Mario Triola. This resource condenses the textbook into easy-to-understand notes that help students grasp core statistical concepts quickly and effectively. This guide provides: Step-by-step explanations of key statistical methods Simplified solutions for common problem types Worked examples to strengthen understanding Focus on real-world applications of statistics Exam-focused notes for quizzes, midterms, and finals Why this guide? Statistics can be overwhelming, but this summary makes it approachable by breaking down complex concepts into clear, practical steps. It’s a time-saving resource for students in general education, math, or business courses who want to improve their grades without getting lost in the textbook. Whether you’re completing assignments, preparing for class tests, or reviewing for a final exam, this guide ensures you’re ready with confidence and clarity.

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Publié le
1 septembre 2025
Nombre de pages
180
Écrit en
2025/2026
Type
Examen
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STATISTICAL REASONING
FOR EVERYDAY LIFE
FIFTH EDITION


Jeffrey Bennett
University of Colorado at Boulder



William L. Briggs
University of Colorado at Denver



Mario F. Triola
Dutchess Community College

,The author and publisher have used their best efforts in preparing this supplement. These efforts include the
development, research, and testing of the theories and programs to determine their effectiveness. The author and
publisher make no warranty of any kind, expressed or implied, with regard to these programs or the documentation
contained in this book. The author and publisher shall not be liable in any event for incidental or consequential
damages in connection with, or arising out of, the furnishing, performance, or use of these programs.

Provided by Pearson from electronic files supplied by the author.

Copyright © 2018, 2014 Pearson Education, Inc.
Publishing as Pearson, 501 Boylston Street, Boston, MA 02116.

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any
form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written
permission of the publisher. Printed in the United States of America.

ISBN-13: 978-0-13-445697-3
ISBN-10: 0-13-445697-1




www.pearsonhighered.com

,Contents


Chapter 1 Speaking of Statistics ...................................................................................... 1


Chapter 2 Measurement in Statistics ............................................................................. 13


Chapter 3 Visual Displays of Data ................................................................................ 21


Chapter 4 Describing Data............................................................................................. 44


Chapter 5 A Normal World ........................................................................................... 63


Chapter 6 Probability in Statistics ................................................................................. 71


Chapter 7 Correlation and Causality.............................................................................. 83


Chapter 8 Inferences from Samples to Populations ..................................................... 100


Chapter 9 Hypothesis Testing...................................................................................... 108


Chapter 10 t Tests, Two-Way Tables, and ANOVA ................................................... 123


Answers ........................................................................................................................... 135




iii

, Statistical Reasoning for Everyday Life
Chapter 1 (Speaking of Statistics) Exam, form A
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or
answers the question.
For problems 1 and 2, determine whether the evaluated group is a population or a sample.
1) The average (mean) age of all 63 Associate Professors at Cliffton University is 47 years.
A) Population B) Sample
2) A researcher examines the property tax records of 84 property owners in one city and finds that 17%
are behind in their tax payments.
A) Population B) Sample
For problems 3 and 4, determine whether the given value is a statistic or a parameter.
3) The average (mean) age of all 63 Associate Professors at Cliffton University is 47 years.
A) Statistic B) Parameter
4) A researcher examines the property tax records of 84 property owners in one city and finds that 17%
are behind in their tax payments.
A) Statistic B) Parameter
5) Following the Republican National Convention, a poll of 600 voters in a central Illinois community
showed that 57% expected the Republican ticket to win over the Democrat ticket no matter whom the
Democrats chose for vice-president. The margin of error was 4 percentage points. There are 25,000
registered voters in the community. Which range of values is likely to contain the population
parameter?
A) 13,250 to 15,250 B) 24,400 to 25,600
C) 318 to 366 D) 53% to 61%
6) A poll of 488 citizens of Normal, Illinois, showed that 65% favored strict enforcement of speed limits
with a margin of error of 4%. A second poll of 495 citizens of the same town showed that 34% favored
strict enforcement of speed limits. Assuming that proper sampling techniques were used in both polls,
one may conclude that
A) the percent of the population that favors strict enforcement of speed limits is 49.5%  8%.
B) the percent of the population that favors strict enforcement of speed limits is 49.5%  4%.
C) one or both of the samples may have been unlikely samples from the population.
D) the percent of the population that favors strict enforcement of speed limits is 65%  8%.
7) A poll of 700 attendees of the Taste of Chicago showed that 445 attendees, 65% of the sample,
believed that the food was overpriced. It is estimated that 1,250,000 people attend the Taste. Although
65% plus or minus 5% of attendees believe that the food is overpriced, the Taste is a popular event.
The raw data of the study is (are)
A) 65% of the sample.
B) 700 attendees, 455 attendees.
C) 1,250,000 attendees, 700 attendees, 455 attendees.
D) (60%, 70%)
8) A student wanted to know the favorite lunch at a large high school with a closed campus. What is the
first step in conducting a statistical study to answer the question?
A) Select a random sample of students.
B) Precisely state the goal of the study.
C) Select a random sample of students and teachers.
D) Select a random sample of teachers.


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