Stats
5th Edition
ISBN: 9780135163825
Author: De Veaux, Richard D., Velleman, Paul F., BOCK, David E.
Publisher: Pearson,
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Chapter 10, Problem 19E
a.
To determine
Identify the population of interest for the given study.
b.
To determine
Identify the population parameter for the given study.
c.
To determine
Find the sampling frame for the given study.
d.
To determine
Identify the sample of the given study.
e.
To determine
Identify the sampling method including the information of randomization.
f.
To determine
Identify the people or individuals who were left out of the study.
g.
To determine
Identify the problem in the proposed survey design.
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4. Dynamic regression (adapted from Q10.4 in Hyndman & Athanasopoulos)
This exercise concerns aus_accommodation: the total quarterly takings from accommodation
and the room occupancy level for hotels, motels, and guest houses in Australia, between
January 1998 and June 2016. Total quarterly takings are in millions of Australian dollars.
a. Perform inflation adjustment for Takings (using the CPI column), creating a new column
in the tsibble called Adj Takings.
b. For each state, fit a dynamic regression model of Adj Takings with seasonal dummy
variables, a piecewise linear time trend with one knot at 2008 Q1, and ARIMA errors.
c. What model was fitted for the state of Victoria? Does the time series exhibit constant
seasonality?
d. Check that the residuals of the model in c) look like white noise.
ce-
216
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
regression line to predict bone loss?
b. Interpret the slope in the context of this
wolf X
problem.
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c. Using the data from the study, can you
say that age causes bone loss?
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120
110
110
100
90
80
Total Score
Scatterplot of Total Score vs. Putts
grit
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Putts
Chapter 10 Solutions
Stats
Ch. 10.2 - 1. Various claims are often made for surveys. Why...Ch. 10.4 - 2. We need to survey a random sample of the 300...Ch. 10 - Prob. 1ECh. 10 - 2. Satisfied workers The managers of a large...Ch. 10 - Prob. 3ECh. 10 - Prob. 4ECh. 10 - Prob. 5ECh. 10 - 6. Sampling satisfaction A company hoping to...Ch. 10 - Prob. 7ECh. 10 - 8. Satisfactory satisfaction samples For each...
Ch. 10 - Prob. 9ECh. 10 - 10. Happy employees The company plans to have the...Ch. 10 - Prob. 11ECh. 10 - 12. Surveying employees The company of Exercise 2...Ch. 10 - Prob. 13ECh. 10 - 14. Student center survey For their class project,...Ch. 10 - Prob. 15ECh. 10 - Prob. 16ECh. 10 - Prob. 17ECh. 10 - In Exercises 17 to 23, for the reports about...Ch. 10 - Prob. 19ECh. 10 - Prob. 20ECh. 10 - Prob. 21ECh. 10 - In Exercises 17 to 23, for the reports about...Ch. 10 - Prob. 23ECh. 10 - 24. Mistaken poll A local TV station conducted a...Ch. 10 - Prob. 25ECh. 10 - 26. Parent opinion, part 1 In a large city school...Ch. 10 - Prob. 27ECh. 10 - 28. Churches For your political science class,...Ch. 10 - 29. Playground Some people have been complaining...Ch. 10 - 30. Roller coasters An amusement park has opened a...Ch. 10 - 31. Playground, act two The survey described in...Ch. 10 - 32. Wording the survey Two members of the PTA...Ch. 10 - 33. Banning ephedra An online poll on a website...Ch. 10 - 34. Survey questions Examine each of the following...Ch. 10 - Prob. 35ECh. 10 - 36. Phone surveys Any time we conduct a survey, we...Ch. 10 - 37. Cell phone survey What about drawing a random...Ch. 10 - 39. Fuel economy Occasionally, when I fill my car...Ch. 10 - 40. Accounting Between quarterly audits, a company...Ch. 10 - 41. Happy workers? A manufacturing company employs...Ch. 10 - 42. Quality control Sammy’s Salsa, a small local...Ch. 10 - 43. A fish story Concerned about reports of...Ch. 10 - 44. Another fish story In recent years, beaches...Ch. 10 - 45. Sampling methods Consider each of these...Ch. 10 - 46. More sampling methods Consider each of these...
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- 10 15 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 more coffee will consumers purchase?ov (Hint: Use the slope.) 21 bru sug c. For what temperature values does the voy marw regression line make the best predictions? al X al 1090391-Yrit,vewolf 30-X Inlog arts bauoxs 268 PART 4 Statistical Studies and the Hunt forarrow_forward18 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_forward
- 17 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_forwardVariable 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_forward
- Variable Bone loss (Y) Age (X) Mean 35.008. 67.992 Standard Deviation 7.684 10.673 Correlation 0.574arrow_forward50 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_forward
- 2 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_forward18 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_forward
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