Introductory Statistics
3rd Edition
ISBN: 9780135188927
Author: Gould, Robert, Ryan, Colleen N. (colleen Nooter)
Publisher: Pearson,
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Chapter 11, Problem 6SE
a.
To determine
Determine and compare the
c .
To determine
Determine the test statistic and compare all possible pairs of means.
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Answer the following, using the figures and
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Answer the following, using the figures and
tables from the temperature versus coffee
sales data from Questions 1 and 11:
a. How many coffees should the manager
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268 PART 4 Statistical Studies and the Hunt for
Chapter 11 Solutions
Introductory Statistics
Ch. 11 - In Exercises 11.1 and 11.2, for each situation,...Ch. 11 - In Exercises 11.1 and 11.2, for each situation,...Ch. 11 - Bonferroni Correction (Example 1) Suppose you have...Ch. 11 - Prob. 4SECh. 11 - Apartment Rents Random samples of rents for...Ch. 11 - Prob. 6SECh. 11 - Gas Prices The website Gasbuddy.com reports the...Ch. 11 - More Gas Prices The following table shows the...Ch. 11 - Prob. 9SECh. 11 - Prob. 10SE
Ch. 11 - Gas Price Intervals Use the data from exercise...Ch. 11 - Gas Price Intervals Use the data from exercise...Ch. 11 - Prob. 13SECh. 11 - Baseball Position and Hits Use the data in the...Ch. 11 - Comparing F -Values from Boxplots (Example 3)...Ch. 11 - Comparing F -Values from Boxplots Refer to the...Ch. 11 - Marital Status and Cholesterol (Example 4) Refer...Ch. 11 - Marital Status and Blood Pressure Test the...Ch. 11 - Schoolwork and Class (Example 5) A random survey...Ch. 11 - TV Hours A random survey was done at a small...Ch. 11 - Schoolwork and Class Use the information for...Ch. 11 - TV Hours Use the information for exercise 11.20....Ch. 11 - Schoolwork Again Go back to the information in...Ch. 11 - TV Hours Again Go back to the information in...Ch. 11 - Pulse Rates (Example 6) Pulse rates were taken for...Ch. 11 - UCLA Music Survey The figure shows side-by-side...Ch. 11 - Commute Times by Method A survey was given to...Ch. 11 - Gas Price ANOVA Based on the following output,...Ch. 11 - Apartment Rents (Example 7) Samples of rents for...Ch. 11 - Study Hours by Major Three independent random...Ch. 11 - Salary by Type of College Information was gathered...Ch. 11 - Draft Lottery When the draft lottery for military...Ch. 11 - Reaction Times for Athletes A random sample of...Ch. 11 - Tomato Plants and Colored Light Jennifer Brogan, a...Ch. 11 - GPAs by Seating Choice A random sample of students...Ch. 11 - Reading Comprehension Sixty-six reading students...Ch. 11 - Hours of Steep and Health Status In a study done...Ch. 11 - Happiness and Age Category StatCrunch surveyed...Ch. 11 - Prob. 41SECh. 11 - House Prices Tukey HSD confidence intervals (with...Ch. 11 - GPA and Row (Example 8) A random sample of...Ch. 11 - Reading Scores by Teaching Method Refer to...Ch. 11 - Reaction Distances Use the data given in exercise...Ch. 11 - Study Hours Use the data given in exercise 11.32....Ch. 11 - Prob. 47SECh. 11 - Tomatoes Use the data given in exercise 11.36....Ch. 11 - Concern over Nuclear Power Following the...Ch. 11 - Social Media Use A StatCrunch survey asked...Ch. 11 - Happiness and Age Consider the data from the...Ch. 11 - GPA and Row Number Suppose you collect data on...Ch. 11 - Contacting Mother Professors of ethics (Eth),...Ch. 11 - Ideal Percentage to Charity Professors of ethics...Ch. 11 - Actual Percentage to Charity Professors of ethics...Ch. 11 - Hours of Television by Age Group The StatCrunch...Ch. 11 - Triglycerides and Gender Using the NHANES data, we...Ch. 11 - Cholesterol and Gender Using NHANES data, we...
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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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