T BANK
AS
STATISTICAL REASONING FO AS AS
R EVERYDAY LIFE
AS AS
FIFTH EDITION AS
JeffreyBennett as
University of Colorado at Boulder
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William L.Briggs as as
University of Colorado at Denver
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Mario F. Triola as as
Dutchess Community College
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,The author and publisher have used their best efforts in preparing this supplement. These efforts include the development,
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research, and testing of the theories and programs to determine their effectiveness. The author and publisher make no warr
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anty of any kind, expressed or implied, with regard to these programs or the documentation contained in this book. The aut
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hor and publisher shall not be liable in any event for incidental or consequential damages in connection with, or arising out
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of, the furnishing, performance, or use of these programs.
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Provided by Pearson from electronic files supplied by the author. Copyright
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© 2018, 2014 Pearson Education, Inc.
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Publishing as Pearson, 501 Boylston Street, Boston, MA 02116.
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All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form
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or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of t
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he publisher. Printed in the United States of America.
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ISBN-13: 978-0-13-445697-3 a s
ISBN-10: 0-13-445697-1 a s
www.pearsonhighered.com
,Contents
Chapter 1 as Speaking of Statistics ....................................................................................... 1
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Chapter 2 as Measurement in Statistics .............................................................................. 13
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Chapter 3 as Visual Displays of Data.................................................................................. 21
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Chapter 4 as Describing Data ............................................................................................. 44
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Chapter 5 as A Normal World ............................................................................................ 63
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Chapter 6 as Probability in Statistics .................................................................................. 71
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Chapter 7 as Correlation and Causality............................................................................... 83
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Chapter 8 as Inferences from Samples to Populations....................................................... 100
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Chapter 9 as Hypothesis Testing ...................................................................................... 108
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Chapter 10 as t Tests, Two-Way Tables, and ANOVA ..................................................... 123
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Answers ........................................................................................................................... 135
iii
, Statistical Reasoning for Everyday Life
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Chapter 1 (Speaking of Statistics) Exam, form A
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MULTIPLE CHOICE. Choose the one alternative that best completes the statement or ans
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wers the question.
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For problems 1 and 2, determine whether the evaluated group is a population or a sample.
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1) The average (mean) age of all 63 Associate Professors at Cliffton University is 47 years.
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A) Population B) Sample as
2) A researcher examines the property tax records of 84 property owners in one city and finds that 17% are
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behind in their tax payments. as as as as
A) Population B) Sample as
For problems 3 and 4, determine whether the given value is a statistic or a parameter.
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3) The average (mean) age of all 63 Associate Professors at Cliffton University is 47 years.
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A) Statistic B) Parameter as
4) A researcher examines the property tax records of 84 property owners in one city and finds that 17% are
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behind in their tax payments. as as as as
A) Statistic B) Parameter as
5) Following the Republican National Convention, a poll of 600 voters in a central Illinois community sho
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wed that 57% expected the Republican ticket to win over the Democrat ticket no matter whom the Democ
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rats chose for vice- as as as
president. The margin of error was 4 percentage points. There are 25,000 registered voters in the commu
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nity. Which range of values is likely to contain the population parameter?
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A) 13,250 to 15,250 B) 24,400 to 25,600 as as as as as
C) 318 to 366 as D) 53% to 61%
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6) A poll of 488 citizens of Normal, Illinois, showed that 65% favored strict enforcement of speed limits wit
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h a margin of error of 4%. A second poll of 495 citizens of the same town showed that 34% favored strict en
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forcement of speed limits. Assuming that proper sampling techniques were used in both polls, one may co
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nclude that as
A) the percent of the population that favors strict enforcement of speed limits is 49.5% 8%.
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B) the percent of the population that favors strict enforcement of speed limits is 49.5% 4%.
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C) one or both of the samples may have been unlikely samples from the population.
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D) the percent of the population that favors strict enforcement of speed limits is 65% 8%.
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7) A poll of 700 attendees of the Taste of Chicago showed that 445 attendees, 65% of the sample, believed t
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hat the food was overpriced. It is estimated that 1,250,000 people attend the Taste. Although 65% plus or
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minus 5% of attendees believe that the food is overpriced, the Taste is a popular event. The raw data of th
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e study is (are)
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A) 65% of the sample. as as as
B) 700 attendees, 455 attendees. as as as
C) 1,250,000 attendees, 700 attendees, 455 attendees. as as as as as
D) (60%, 70%) as
8) A student wanted to know the favorite lunch at a large high school with a closed campus. What is the first
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step in conducting a statistical study to answer the question?
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A) Select a random sample of students. as as as as as
B) Precisely state the goal of the study. as as as as as as
C) Select a random sample of students and teachers. as as as as as as as
D) Select a random sample of teachers. as as as as as
1
Copyright © 2018 Pearson Education, Inc. as as as as as