Intro Stats
4th Edition
ISBN: 9780321826275
Author: Richard D. De Veaux
Publisher: PEARSON
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Chapter 2, Problem 21E
To determine
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18 Using the results from the rainfall versus
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Variable Total score (Y) Putts hit (X)
Mean. 93.900 35.780
Standard Deviation 7.717 4.554
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Chapter 2 Solutions
Intro Stats
Ch. 2.2 - A statistics class reports the following data on...Ch. 2.2 - A statistics class reports the following data on...Ch. 2.2 - A statistics class reports the following data on...Ch. 2.2 - Prob. 4JCCh. 2.2 - Prob. 5JCCh. 2.2 - A statistics class reports the following data on...Ch. 2.2 - Prob. 7JCCh. 2 - Prob. 1ECh. 2 - Prob. 2ECh. 2 - Prob. 3E
Ch. 2 - Marriage in decline Changing attitudes about...Ch. 2 - 5. Movies again The following table summarizes 348...Ch. 2 - Prob. 6ECh. 2 - Prob. 11ECh. 2 - 12. Movie ratings The pie chart shows the ratings...Ch. 2 - Prob. 13ECh. 2 - Prob. 14ECh. 2 - Prob. 15ECh. 2 - Prob. 16ECh. 2 - Prob. 17ECh. 2 - Prob. 18ECh. 2 - Prob. 19ECh. 2 - Prob. 20ECh. 2 - Prob. 21ECh. 2 - Modalities A survey of athletic trainers asked...Ch. 2 - Prob. 23ECh. 2 - Prob. 24ECh. 2 - Prob. 25ECh. 2 - Prob. 26ECh. 2 - Prob. 27ECh. 2 - Politics Students in an Intro Stats course were...Ch. 2 - More about seniors Look again at the table of...Ch. 2 - Politics revisited Look again at the table of...Ch. 2 - Prob. 31ECh. 2 - More politics Look once more at the table...Ch. 2 - Prob. 33ECh. 2 - Parking lots A survey of autos parked in student...Ch. 2 - Weather forecasts Just how accurate are the...Ch. 2 - Prob. 36ECh. 2 - Blood pressure A company held a blood pressure...Ch. 2 - Prob. 38ECh. 2 - Prob. 39ECh. 2 - Antidepressants and bone fractures For a period of...Ch. 2 - Prob. 41ECh. 2 - Prob. 42ECh. 2 - Hospitals Most patients who undergo surgery make...Ch. 2 - Delivery service A company must decide which of...Ch. 2 - Graduate admissions A 1975 article in the magazine...Ch. 2 - Be a Simpson Can you design a Simpsons paradox?...
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- 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
- In a study of 70 undergraduate students and 47 graduate students, the undergraduates had a mean reported number of hours sleeping of 6.0998 with a standard deviation of 1.1085 hrs. The graduate students had a mean of 6.6255 hours with a standard deviation of 1.8992 hours. Use StatCrunch and a significance level of 0.05 to run the t-test. What is the test statistic? What is the p-value associated with that test statistic? Give the most appropriate conclusion in context There is not evidence to reject the claim that undergraduates sleep the less than graduate students. There is evidence to support the claim that undergraduates sleep less than graduate students. We accept the claim that undergraduates sleep less than graduate students. Undergraudates sleep the same amount of time as graduate students.arrow_forward1 14 Agricultural scientists try to predict corn sed production by using annual rainfall. They measure crop yields (bushels per acre) and besnil annual rainfall (inches) for 150 one-acre Xlo plots; you can see the summary of statistics to sgn in the following table. sulay X a. lg noy nativ Identify the X variable and the Y variable in this problem. b. Find and try to interpret the slope in the en adi gnis context of corn and rainfall. (More prac- qo X to tice on interpretation in the next section.) 6 Variable Mean Standard Correlation Deviation remis Rainfall 47.844 47.844 9.38 9.38 0.608 Corn 150.77 19.76 itsch mot sugiterü gizl e di mot) moldong signers dziw Y bas Xgnitis"arrow_forward14 Agricultural scientists try to predict corn dm production by using annual rainfall. They sb measure crop yields (bushels per acre) and annual rainfall (inches) for 150 one-acre plots; you can see the summary of statistics ag in the following table. solv a. Identify the X variable and the Y variable in this problem. b. Find and try to interpret the slope in the or gris context of corn and rainfall. (More prac- 03 X to tice on interpretation in the next section.) gob 11.Y to smontuo ed i sad s 6 Variable Mean Standard Deviation Correlation niroq Rainfall 47.844 do no 47.844 9.38 0.608 10 Corn 150.77 19.76 to s fods about sugi orgiearrow_forward
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