An Introduction to Statistical Methods and Data Analysis
7th Edition
ISBN: 9781305269477
Author: R. Lyman Ott, Micheal T. Longnecker
Publisher: Cengage Learning
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 3.11, Problem 72SE
Refer to the data in Exercise 3.69.
- a. Construct a quantile plot of the number of syphilis cases.
- b. From the quantile plot, determine the 90th percentile for the number of syphilis cases.
- c. Identify the states in which the number of syphilis cases is above the 90th percentile.
3.69. Certain types of diseases tend to occur in clusters. In particular, persons affected with AIDS, syphilis, and tuberculosis may have some common characteristics and associations that increase their chances of contracting these diseases. The following table lists the number of reported cases by state in 2001.
- a. Construct a
scatterplot of the number of AIDS cases versus the number of syphilis cases. - b. Compute the
correlation between the number of AIDS cases and the number of syphilis cases. - c. Does the value of the
correlation coefficient reflect the degree of association shown in the scatterplot? - d. Why do you think there may be a correlation between these two diseases?
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Hi, I need to make sure I have drafted a thorough analysis, so please answer the following questions. Based on the data in the attached image, develop a regression model to forecast the average sales of football magazines for each of the seven home games in the upcoming season (Year 10). That is, you should construct a single regression model and use it to estimate the average demand for the seven home games in Year 10. In addition to the variables provided, you may create new variables based on these variables or based on observations of your analysis. Be sure to provide a thorough analysis of your final model (residual diagnostics) and provide assessments of its accuracy. What insights are available based on your regression model?
I want to make sure that I included all possible variables and observations. There is a considerable amount of data in the images below, but not all of it may be useful for your purposes. Are there variables contained in the file that you would exclude from a forecast model to determine football magazine sales in Year 10? If so, why? Are there particular observations of football magazine sales from previous years that you would exclude from your forecasting model? If so, why?
Stat questions
Chapter 3 Solutions
An Introduction to Statistical Methods and Data Analysis
Ch. 3.11 - The U.S. government spent more than $3.6 trillion...Ch. 3.11 - The type of vehicle the U.S public purchases...Ch. 3.11 - It has been reported that there has been a change...Ch. 3.11 - The regulations of the board of health in a...Ch. 3.11 - The National Highway Traffic Safety Administration...Ch. 3.11 - Prob. 6ECh. 3.11 - The survival times (in months) for two treatments...Ch. 3.11 - Combine the data from the separate therapies in...Ch. 3.11 - Prob. 9ECh. 3.11 - The following table presents homeownership rates,...
Ch. 3.11 - Prob. 11ECh. 3.11 - Prob. 12ECh. 3.11 - A supplier of high-quality audio equipment for...Ch. 3.11 - Prob. 14ECh. 3.11 - Compute the mean, median, and mode for the...Ch. 3.11 - Prob. 16ECh. 3.11 - Prob. 17ECh. 3.11 - Prob. 18ECh. 3.11 - A study of the reliability of buses [Large Sample...Ch. 3.11 - Prob. 20ECh. 3.11 - Prob. 21ECh. 3.11 - A study of the survival times, in days, of skin...Ch. 3.11 - Prob. 23ECh. 3.11 - Prob. 24ECh. 3.11 -
Refer to Exercise 3.24. Average the three group...Ch. 3.11 -
Pushing economy and wheelchair-propulsion...Ch. 3.11 - Prob. 27ECh. 3.11 - Prob. 28ECh. 3.11 -
The treatment times (in minutes) for patients at...Ch. 3.11 - To assist in estimating the amount of lumber in a...Ch. 3.11 -
Consumer Reports in its June 1998 issue reports...Ch. 3.11 - Many marine phanerogam species are highly...Ch. 3.11 - Prob. 33ECh. 3.11 - The following data are the resting pulse rates for...Ch. 3.11 - Consumer Reports in its May 1998 issue provides...Ch. 3.11 - Prob. 36ECh. 3.11 - Prob. 37ECh. 3.11 - Prob. 38ECh. 3.11 - In the paper “Demographic Implications of...Ch. 3.11 - Prob. 40ECh. 3.11 - Prob. 41ECh. 3.11 - Prob. 42ECh. 3.11 - Prob. 43SECh. 3.11 - Prob. 44SECh. 3.11 - Prob. 45SECh. 3.11 - Prob. 46SECh. 3.11 - Prob. 47SECh. 3.11 - Prob. 48SECh. 3.11 - A random sample of 90 standard metropolitan...Ch. 3.11 - Prob. 50SECh. 3.11 - Prob. 51SECh. 3.11 - Prob. 52SECh. 3.11 - Prob. 53SECh. 3.11 - The Insurance Institute for Highway Safety...Ch. 3.11 - Prob. 55SECh. 3.11 - Prob. 56SECh. 3.11 -
Federal authorities have destroyed considerable...Ch. 3.11 - The most widely reported index of the performance...Ch. 3.11 - As one part of a review of middle-manager...Ch. 3.11 - Prob. 60SECh. 3.11 - Prob. 61SECh. 3.11 - Prob. 62SECh. 3.11 - The correlations computed for the six variables in...Ch. 3.11 - Prob. 64SECh. 3.11 - Prob. 65SECh. 3.11 - Prob. 66SECh. 3.11 - Prob. 67SECh. 3.11 - Prob. 68SECh. 3.11 - Prob. 69SECh. 3.11 - Prob. 70SECh. 3.11 - Prob. 71SECh. 3.11 -
Refer to the data in Exercise 3.69.
Construct a...Ch. 3.11 - Prob. 73SECh. 3.11 - Prob. 74SECh. 3.11 - Prob. 75SECh. 3.11 - Prob. 76SECh. 3.11 - Prob. 77SECh. 3.11 - Prob. 78SECh. 3.11 - Prob. 79SECh. 3.11 - Prob. 80SE
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- 1) and let Xt is stochastic process with WSS and Rxlt t+t) 1) E (X5) = \ 1 2 Show that E (X5 = X 3 = 2 (= = =) Since X is WSSEL 2 3) find E(X5+ X3)² 4) sind E(X5+X2) J=1 ***arrow_forwardProve that 1) | RxX (T) | << = (R₁ " + R$) 2) find Laplalse trans. of Normal dis: 3) Prove thy t /Rx (z) | < | Rx (0)\ 4) show that evary algebra is algebra or not.arrow_forwardFor each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Month Number (Thousands)Dec 1991 65.60Jan 1992 71.60Feb 1992 78.80Mar 1992 111.60Apr 1992 107.60May 1992 115.20Jun 1992 117.80Jul 1992 106.20Aug 1992 109.90Sep 1992 106.00Oct 1992 111.80Nov 1992 84.50Dec 1992 78.60Jan 1993 70.50Feb 1993 74.60Mar 1993 95.50Apr 1993 117.80May 1993 120.90Jun 1993 128.50Jul 1993 115.30Aug 1993 121.80Sep 1993 118.50Oct 1993 123.30Nov 1993 102.30Dec 1993 98.70Jan 1994 76.20Feb 1994 83.50Mar 1994 134.30Apr 1994 137.60May 1994 148.80Jun 1994 136.40Jul 1994 127.80Aug 1994 139.80Sep 1994 130.10Oct 1994 130.60Nov 1994 113.40Dec 1994 98.50Jan 1995 84.50Feb 1995 81.60Mar 1995 103.80Apr 1995 116.90May 1995 130.50Jun 1995 123.40Jul 1995 129.10Aug 1995…arrow_forward
- For each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Year Month Units1 Nov 42,1611 Dec 44,1862 Jan 42,2272 Feb 45,4222 Mar 54,0752 Apr 50,9262 May 53,5722 Jun 54,9202 Jul 54,4492 Aug 56,0792 Sep 52,1772 Oct 50,0872 Nov 48,5132 Dec 49,2783 Jan 48,1343 Feb 54,8873 Mar 61,0643 Apr 53,3503 May 59,4673 Jun 59,3703 Jul 55,0883 Aug 59,3493 Sep 54,4723 Oct 53,164arrow_forwardHigh Cholesterol: A group of eight individuals with high cholesterol levels were given a new drug that was designed to lower cholesterol levels. Cholesterol levels, in milligrams per deciliter, were measured before and after treatment for each individual, with the following results: Individual Before 1 2 3 4 5 6 7 8 237 282 278 297 243 228 298 269 After 200 208 178 212 174 201 189 185 Part: 0/2 Part 1 of 2 (a) Construct a 99.9% confidence interval for the mean reduction in cholesterol level. Let a represent the cholesterol level before treatment minus the cholesterol level after. Use tables to find the critical value and round the answers to at least one decimal place.arrow_forwardI worked out the answers for most of this, and provided the answers in the tables that follow. But for the total cost table, I need help working out the values for 10%, 11%, and 12%. A pharmaceutical company produces the drug NasaMist from four chemicals. Today, the company must produce 1000 pounds of the drug. The three active ingredients in NasaMist are A, B, and C. By weight, at least 8% of NasaMist must consist of A, at least 4% of B, and at least 2% of C. The cost per pound of each chemical and the amount of each active ingredient in one pound of each chemical are given in the data at the bottom. It is necessary that at least 100 pounds of chemical 2 and at least 450 pounds of chemical 3 be used. a. Determine the cheapest way of producing today’s batch of NasaMist. If needed, round your answers to one decimal digit. Production plan Weight (lbs) Chemical 1 257.1 Chemical 2 100 Chemical 3 450 Chemical 4 192.9 b. Use SolverTable to see how much the percentage of…arrow_forward
- At the beginning of year 1, you have $10,000. Investments A and B are available; their cash flows per dollars invested are shown in the table below. Assume that any money not invested in A or B earns interest at an annual rate of 2%. a. What is the maximized amount of cash on hand at the beginning of year 4.$ ___________ A B Time 0 -$1.00 $0.00 Time 1 $0.20 -$1.00 Time 2 $1.50 $0.00 Time 3 $0.00 $1.90arrow_forwardFor each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Year Month Rate (%)2009 Mar 8.72009 Apr 9.02009 May 9.42009 Jun 9.52009 Jul 9.52009 Aug 9.62009 Sep 9.82009 Oct 10.02009 Nov 9.92009 Dec 9.92010 Jan 9.82010 Feb 9.82010 Mar 9.92010 Apr 9.92010 May 9.62010 Jun 9.42010 Jul 9.52010 Aug 9.52010 Sep 9.52010 Oct 9.52010 Nov 9.82010 Dec 9.32011 Jan 9.12011 Feb 9.02011 Mar 8.92011 Apr 9.02011 May 9.02011 Jun 9.12011 Jul 9.02011 Aug 9.02011 Sep 9.02011 Oct 8.92011 Nov 8.62011 Dec 8.52012 Jan 8.32012 Feb 8.32012 Mar 8.22012 Apr 8.12012 May 8.22012 Jun 8.22012 Jul 8.22012 Aug 8.12012 Sep 7.82012 Oct…arrow_forwardFor each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical). Date IBM9/7/2010 $125.959/8/2010 $126.089/9/2010 $126.369/10/2010 $127.999/13/2010 $129.619/14/2010 $128.859/15/2010 $129.439/16/2010 $129.679/17/2010 $130.199/20/2010 $131.79 a. Construct a line chart of the closing stock prices data. Choose the correct chart below.arrow_forward
- For each of the time series, construct a line chart of the data and identify the characteristics of the time series (that is, random, stationary, trend, seasonal, or cyclical) Date IBM9/7/2010 $125.959/8/2010 $126.089/9/2010 $126.369/10/2010 $127.999/13/2010 $129.619/14/2010 $128.859/15/2010 $129.439/16/2010 $129.679/17/2010 $130.199/20/2010 $131.79arrow_forward1. A consumer group claims that the mean annual consumption of cheddar cheese by a person in the United States is at most 10.3 pounds. A random sample of 100 people in the United States has a mean annual cheddar cheese consumption of 9.9 pounds. Assume the population standard deviation is 2.1 pounds. At a = 0.05, can you reject the claim? (Adapted from U.S. Department of Agriculture) State the hypotheses: Calculate the test statistic: Calculate the P-value: Conclusion (reject or fail to reject Ho): 2. The CEO of a manufacturing facility claims that the mean workday of the company's assembly line employees is less than 8.5 hours. A random sample of 25 of the company's assembly line employees has a mean workday of 8.2 hours. Assume the population standard deviation is 0.5 hour and the population is normally distributed. At a = 0.01, test the CEO's claim. State the hypotheses: Calculate the test statistic: Calculate the P-value: Conclusion (reject or fail to reject Ho): Statisticsarrow_forward21. find the mean. and variance of the following: Ⓒ x(t) = Ut +V, and V indepriv. s.t U.VN NL0, 63). X(t) = t² + Ut +V, U and V incepires have N (0,8) Ut ①xt = e UNN (0162) ~ X+ = UCOSTE, UNNL0, 62) SU, Oct ⑤Xt= 7 where U. Vindp.rus +> ½ have NL, 62). ⑥Xn = ΣY, 41, 42, 43, ... Yn vandom sample K=1 Text with mean zen and variance 6arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Holt Mcdougal Larson Pre-algebra: Student Edition...AlgebraISBN:9780547587776Author:HOLT MCDOUGALPublisher:HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition...
Algebra
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
The Shape of Data: Distributions: Crash Course Statistics #7; Author: CrashCourse;https://www.youtube.com/watch?v=bPFNxD3Yg6U;License: Standard YouTube License, CC-BY
Shape, Center, and Spread - Module 20.2 (Part 1); Author: Mrmathblog;https://www.youtube.com/watch?v=COaid7O_Gag;License: Standard YouTube License, CC-BY
Shape, Center and Spread; Author: Emily Murdock;https://www.youtube.com/watch?v=_YyW0DSCzpM;License: Standard Youtube License