Introductory Statistics
3rd Edition
ISBN: 9780135188927
Author: Gould, Robert, Ryan, Colleen N. (colleen Nooter)
Publisher: Pearson,
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Chapter 3, Problem 60SE
a.
To determine
Construct graphs to compare the heights of the two data sets and comment on the shape of the graphs.
b.
To determine
Find the
c.
To determine
Compare the two data sets using the
d.
To determine
Compare the two data sets using the
e.
To determine
Comment which is a better alternative: part (c) or (d), to compare the two data sets.
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Answer the following, using the figures and
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Chapter 3 Solutions
Introductory Statistics
Ch. 3 - Earnings A sociologist says, “Typically, men in...Ch. 3 - Houses A real estate agent claims that all things...Ch. 3 - Exercise Hours (Example 1) The histogram shows the...Ch. 3 - Sodium The following histogram shows the sodium...Ch. 3 - Tall Buildings The table shows the location and...Ch. 3 - Roller Coasters The table shows the names and...Ch. 3 - River Lengths (Example 2) The table shows the...Ch. 3 - Children of First Ladies This list represents the...Ch. 3 - 200-Meter Run The table show the gold medal...Ch. 3 - Olympic Swimming Times The table shows the...
Ch. 3 - Wedding Costs by Gender (Example 3) StatCrunch did...Ch. 3 - Wedding Costs by Experience StatCrunch did a...Ch. 3 - Surfing College students and surfers Rex Robinson...Ch. 3 - State College Tuition The tuition costs (in...Ch. 3 - Winter Temperatures San Jose and Denver (Example...Ch. 3 - Summer Temperatures L.A. and NYC The histograms...Ch. 3 - Weight Gain during Pregnancy (Example 5) The mean...Ch. 3 - Birth Length The mean birth length for U.S....Ch. 3 - Orange Juice Prices (Example 6) From Amazon.com,...Ch. 3 - Sibling Ages Four siblings are 2, 6, 9, and 10...Ch. 3 - Olympics In the most recent summer Olympics, do...Ch. 3 - Weights Suppose you have a data set with the...Ch. 3 - Home Prices (SC and TN) The prices (in $ thousand)...Ch. 3 - Home Prices (FL and GA) The prices (in $ thousand)...Ch. 3 - Drinkers The number of alcoholic drinks per week...Ch. 3 - Prob. 26SECh. 3 - Standard Deviation Is it possible for a standard...Ch. 3 - Standard Deviation Is it possible for a standard...Ch. 3 - Major League Baseball Runs (Example 7) The...Ch. 3 - Residential Energy Consumption (East) Data on...Ch. 3 - Pollution Index (Example 8) In 2017 a pollution...Ch. 3 - Pollution Index In 2017 a pollution index was...Ch. 3 - Heights and z-Scores The dotplot shows heights of...Ch. 3 - Heights Refer to the dotplot in the previous...Ch. 3 - Unusual IQs (Example 9) Wechsler IQ tests have a...Ch. 3 - Lengths of Pregnancy Distributions of gestation...Ch. 3 - Low-Birth-Weight Babies (Example 10) Babies born...Ch. 3 - Birth Lengths Babies born after 40 weeks gestation...Ch. 3 - Men’s Heights Assume that men’s heights have a...Ch. 3 - Women’s Heights Assume that women’s heights have a...Ch. 3 - Name two measures of the center of a distribution,...Ch. 3 - Name two measures of the variation of a...Ch. 3 - Marvel Movies (Example 11 and 13) The top ten...Ch. 3 - DC Movies The top seven movies based on DC comic...Ch. 3 - Top Seven Marvel Movies (Example 12) Use the data...Ch. 3 - Top Five DC Movies Use the data in Exercise 3.44,...Ch. 3 - Total Energy Consumption Data was collected on the...Ch. 3 - Industrial Energy Consumption Data was collected...Ch. 3 - Outliers a. In your own words, describe to someone...Ch. 3 - Center and Variation When you are comparing two...Ch. 3 - An Error A dieter recorded the number of calories...Ch. 3 - Baseball Strike In 1994, Major League Baseball...Ch. 3 - Home Prices Home prices in San Luis Obispo County...Ch. 3 - Youth Heights The National Longitudinal Survey...Ch. 3 - Senator Years in Office (Example 14) The following...Ch. 3 - MLB Player Ages The following histograms show the...Ch. 3 - Prob. 57SECh. 3 - Death Row: West The following table shows the...Ch. 3 - The Consumer Price Index (CPI) (Example 16)...Ch. 3 - Prob. 60SECh. 3 - Prob. 61SECh. 3 - Mean from a Histogram The histogram shows the...Ch. 3 - Poverty Rates The following boxplot shows the...Ch. 3 - Regional Population Density The figure shows the...Ch. 3 - Professional Sport Ticket Prices The following...Ch. 3 - BA Attainment The following boxplot shows the...Ch. 3 - Matching Boxplots and Histograms a. Report the...Ch. 3 - Matching Boxplots and Histograms Match each of the...Ch. 3 - Public Libraries Data at this text’s website show...Ch. 3 - Gas Taxes Data at this text’s website show the gas...Ch. 3 - Roller Coaster Heights (Example 17) The dotplot...Ch. 3 - Passing the Bar Exam The following dotplot shows...Ch. 3 - Exam Scores The five-number summary for a...Ch. 3 - Exam Scores The five-number summary for a...Ch. 3 - Prob. 75CRECh. 3 - Gas Taxes (West) The following table shows the gas...Ch. 3 - Final Exam Grades The data that follow are final...Ch. 3 - Speeding Tickets College students Diane Glover and...Ch. 3 - Heights The following graph shows the heights for...Ch. 3 - Marathon Times The following histogram of marathon...Ch. 3 - Prob. 81CRECh. 3 - Chain Restaurant Calories The New York Times...Ch. 3 - 12th-Grade Sleep The histogram shows hours of...Ch. 3 - For exercises 3.85 through 3.88, construct two...Ch. 3 - For exercises 3.85 through 3.88, construct two...Ch. 3 - For exercises 3.85 through 3.88, construct two...Ch. 3 - For exercises 3.85 through 3.88, construct two...Ch. 3 - Educational Attainment The tables below show the...Ch. 3 - Unemployment Rates The tables below show the 2015...Ch. 3 - Professional Sports Ticket Prices The following...Ch. 3 - Professional Sports Ticket Prices The following...Ch. 3 - Exam Scores An exam score has a mean of 80 and a...Ch. 3 - Boys’ Heights Three-year-old boys in the United...Ch. 3 - SAT and ACT Scores Quantitative SAT scores have a...Ch. 3 - Children’s Heights Mrs. Diaz has two children: a...Ch. 3 - Prob. 97CRECh. 3 - Students’ Ages Here are the ages of some students...Ch. 3 - Race Times The following graph shows the time it...Ch. 3 - Prob. 100CRECh. 3 - Prob. 101CRECh. 3 - Prob. 102CRE
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- 18 Using the results from the rainfall versus corn production data in Question 14, answer DOV 15 the following: a. Find and interpret the slope in the con- text of this problem. 79 b. Find the Y-intercept in the context of this problem. alb to sig c. Can the Y-intercept be interpreted here? (.ob or grinisiques xs as 101 gniwollol edt 958 orb sz) asiques sich ed: flow wo PEMAIarrow_forwardVariable Total score (Y) Putts hit (X) Mean. 93.900 35.780 Standard Deviation 7.717 4.554 Correlation 0.896arrow_forward17 Referring to the figures and tables from the golf data in Questions 3 and 13, what hap- pens as you keep increasing X? Does Y increase forever? Explain. comis word ே om zol 6 svari woy wol visy alto su and vibed si s'ablow it bas akiog vino b tad) beil Bopara Aon csu How wod griz -do 30 義arrow_forward
- Variable Temperature (X) Coffees sold (Y) Mean 35.08 29,913 Standard Deviation 16.29 12,174 Correlation -0.741arrow_forward13 A golf analyst measures the total score and number of putts hit for 100 rounds of golf an amateur plays; you can see the summary of statistics in the following table. (See the figure in Question 3 for a scatterplot of this data.)noitoloqpics bella a. Is it reasonable to use a line to fit this data? Explain. 101 250 b. Find the equation of the best fitting 15er regression line. ad aufstuess som 'moob Y lo esulav in X ni ognado a tad Variable on Mean Standard Correlation 92 Deviation Total score (Y) 93.900 7.717 0.896 Putts hit (X) 35.780 4.554 totenololbenq axlam riso voy X to asulisy datdw gribol anil er 08,080.0 zl noitsism.A How atharrow_forwardVariable Bone loss (Y) Age (X) Mean 35.008. 67.992 Standard Deviation 7.684 10.673 Correlation 0.574arrow_forward
- 50 Bone Loss 30 40 20 Scatterplot of Bone Loss vs. Age . [902) 10 50 60 70 80 90 Age a sub adi u xinq (20) E 4 adw I- nyd med ivia .0 What does a scatterplot that shows no linear relationship between X and Y look like?arrow_forwardVariable Temperature (X) Coffees sold (Y) Mean 35.08 29,913 Standard Deviation 16.29 12,174 Correlation -0.741arrow_forward2 Find and interpret the value of r² for the rainfall versus corn data, using the table from Question 14.2291992 b sgen gnome vixists 992 ms up? 2910 1999 bio .blos estos $22 tolqis2 qs rieds ni zoti swoH iisqa vilsen od 1'meo DOV to mogers boangas mus jil Reustar enou Leption20th ) abnuin Hagodt graub 032 Carrow_forward
- 18 Using the results from the rainfall versus corn production data in Question 14, answer oy the following: DOY 98 103 LA Find and interpret the slope in the con- text of this problem. b. Find the Y-intercept in the context of this problem. roy gatiigisve Toy c. Can the Y-intercept be interpreted here? (.ob o grinisq blo eiqmaxs as 101 galwollol edt 998 ds most notamotni er griau sib 952) siqmaxs steb godt llaw worl pun MAarrow_forwardVariable mean standard variation correlation temperature(X) 35.08 16.29. -0,741 coffees sold(Y). 29,913. 12.174.arrow_forward12 ம் Y si to no 1672 1 A medical researcher measures bone density and the age of 125 women; you can see the o lesummary of statistics in the following table. (See the figure in Question 2 for a scatterplot of this data.) a. How well will a line fit this data? b. Find the equation of the best fitting regression line. Variable Mean Standard Correlation Deviation Bone loss (Y) 35.008 7.684 0.574 A Age (X) 19 67.992 10.673 T in send art lo (d) sqala sala bolt 3 esmit sqola ad garrow_forward
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