STATS:DATA+MODELS(LL)-W/ACCESS>CUSTOM<
21st Edition
ISBN: 9780137643219
Author: DeVeaux
Publisher: PEARSON
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Chapter 14, Problem 21E
To determine
Find the standard deviation of the number of children the couple have.
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Answer the following, using the figures and
tables from the age versus bone loss data in
2010 Questions 2 and 12:
a. For what ages is it reasonable to use the
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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
prepare to make if the temperature is 32°F?
b. As the temperature drops, how much
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(Hint: Use the slope.)
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268 PART 4 Statistical Studies and the Hunt for
Chapter 14 Solutions
STATS:DATA+MODELS(LL)-W/ACCESS>CUSTOM<
Ch. 14.1 - 1. One of the authors took his minivan in for...Ch. 14.3 - 2. Suppose the time it takes a customer to get and...Ch. 14 - Prob. 1ECh. 14 - 2. Caffeinated A coffee shop tracks sales and has...Ch. 14 - 3. Oranges again What is the standard deviation...Ch. 14 - 4. Caffeinated again What is the standard...Ch. 14 - 5. Salary An employer pays a mean salary for a...Ch. 14 - 6. Golf scores A golfer keeps track of his score...Ch. 14 - 13. Battery The life span of a calculator battery...Ch. 14 - 14. Ketchup An automatic filling machine in a...
Ch. 14 - 15. Expected value Find the expected value of each...Ch. 14 - 16. Expected value Find the expected value of each...Ch. 14 - 17. Pick a card, any card You draw a card from a...Ch. 14 - 18. You bet! You roll a fair die. If it comes up a...Ch. 14 - 19. Kids A couple plans to have children until...Ch. 14 - 20. Carnival A carnival game offers a $100 cash...Ch. 14 - 21. Software A small software company bids on two...Ch. 14 - Prob. 16ECh. 14 - Prob. 17ECh. 14 - Prob. 18ECh. 14 - Prob. 19ECh. 14 - 26. The die Find the standard deviation of the...Ch. 14 - Prob. 21ECh. 14 - Prob. 22ECh. 14 - Prob. 23ECh. 14 - 30. Red lights A commuter must pass through five...Ch. 14 - 31. Defects A consumer organization inspecting new...Ch. 14 - 32. Insurance An insurance policy costs $100 and...Ch. 14 - Prob. 27ECh. 14 - Day trading An option to buy a stock is priced at...Ch. 14 - Prob. 29ECh. 14 - 36. Contracts Your company bids for two contracts....Ch. 14 - Prob. 31ECh. 14 - Prob. 32ECh. 14 - Prob. 33ECh. 14 - Prob. 34ECh. 14 - Random variables Given independent random...Ch. 14 - 42. Random variables Given independent random...Ch. 14 - Prob. 37ECh. 14 - 44. Garden A company selling vegetable seeds in...Ch. 14 - Prob. 39ECh. 14 - Stop! Find the mean and standard deviation of the...Ch. 14 - Tickets A delivery company’s trucks occasionally...Ch. 14 - Donations Organizers of a televised fundraiser...Ch. 14 - 49. Fire! An insurance company estimates that it...Ch. 14 - Prob. 45ECh. 14 - 52. Pets The American Veterinary Association...Ch. 14 - Prob. 47ECh. 14 - More pets You’re thinking about getting two dogs...Ch. 14 - 55. Medley In the 4 × 100 medley relay event, four...Ch. 14 - Prob. 50ECh. 14 - Prob. 51ECh. 14 - 58. Bike sale The bicycle shop in Exercise 56 will...Ch. 14 - 59. Coffee and doughnuts At a certain coffee shop,...Ch. 14 - Prob. 54E
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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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