Statistical Reasoning for Everyday Life (5th Edition)
5th Edition
ISBN: 9780134494043
Author: Jeff Bennett, William L. Briggs, Mario F. Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Textbook Question
Chapter 10.2, Problem 6E
Does It Make Sense? For Exercises 5–8, determine whether the statement makes sense (or is clearly true) or does not make sense (or is clearly false). Explain clearly. Not all of these statements have definitive answers, so your explanation is more important than your chosen answer.
6. χ2 Statistic. In a two-way table, all of the observed frequencies are very close to the expected frequencies, so the χ2 statistic is very small.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solutionStudents have asked these similar questions
A researcher believes that the so-called “sugar high” is not real. He gathered 30 adolescents and recorded their activity level in the scale of 0 – 100 (0 = not active and 100 = super active). First, he recorded participants’ activity level before they consumed candy. After recording their pre-sugar activity level, the researcher gave out 5 Snickers bars to participants. Then, he recorded their post-sugar activity level. The average difference between post-sugar and pre-sugar activity level is 50 (i.e., the activity levels are higher after sugar than prior to it) with a standard deviation of 10.
A). What is the type of test you will use? (z-test, single-sample t-test, paired-samples t-test, or independent samples t-test) and why (what information provided in the problem)B). What are the hypotheses (Be Specific)
The body mass index (BMI) of a person is the person’s weight divided by the square of his or her height. It is an indirect measure of the person’s body fat and an indicator of obesity. Results from surveys conducted by the Centers for Disease Control and Prevention (CDC) showed that the estimated mean BMI for US adults increased from 25.0 in the 1960–1962 period to 28.1 in the 1999–2002 period. [Source: Ogden, C., et al. (2004). Mean body weight, height, and body mass index, United States 1960–2002.
Suppose you are a health researcher. You conduct a hypothesis test to determine whether the mean BMI of US adults in the current year is greater than the mean BMI of US adults in 2000. Assume that the mean BMI of US adults in 2000 was 28.1 (the population mean). You obtain a sample of BMI measurements of 1,034 US adults, which yields a sample mean of M = 28.9.
Let μ denote the mean BMI of US adults in the current year. Please Formulate the null and alternative hypotheses
Regression and Predictions. Exercises 13–28 use the same data sets as Exercises 13–28 in Section 10-1. In each case, find the regression equation, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure 10-5 on page 493.
Old Faithful Using the listed duration and interval after times, find the best predicted “interval after” time for an eruption with a duration of 253 seconds. How does it compare to an actual eruption with a duration of 253 seconds and an interval after time of 83 minutes?
Chapter 10 Solutions
Statistical Reasoning for Everyday Life (5th Edition)
Ch. 10.1 - t Distribution. What is the t distribution? What...Ch. 10.1 - Degrees of Freedom. How do you determine the...Ch. 10.1 - Prob. 3ECh. 10.1 - Hypothesis Test. Briefly summarize the procedure...Ch. 10.1 - Does It Make Sense? For Exercises 58, determine...Ch. 10.1 - Prob. 6ECh. 10.1 - Prob. 7ECh. 10.1 - Prob. 8ECh. 10.1 - Confidence Intervals. In Exercises 918, use the t...Ch. 10.1 - Confidence Intervals. In Exercises 918, use the t...
Ch. 10.1 - Elbow-to-Fingertip Length of Men. A simple random...Ch. 10.1 - Earthquake Epicenter Depths. A simple random...Ch. 10.1 - Hospital Costs with Seat Belts. A study was...Ch. 10.1 - Prob. 14ECh. 10.1 - Estimating Car Pollution. Each car in a sample of...Ch. 10.1 - Movie Lengths. Listed below are lengths (in...Ch. 10.1 - Prob. 17ECh. 10.1 - Prob. 18ECh. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Prob. 20ECh. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Prob. 22ECh. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Hypothesis Tests. In Exercises 1928, test the...Ch. 10.1 - Prob. 25ECh. 10.1 - Prob. 26ECh. 10.1 - Prob. 27ECh. 10.1 - Prob. 28ECh. 10.2 - Two-Way Tables. What is a two-way table? What are...Ch. 10.2 - Hypotheses. When working with two variables in a...Ch. 10.2 - Prob. 3ECh. 10.2 - Prob. 4ECh. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Does It Make Sense? For Exercises 58, determine...Ch. 10.2 - Prob. 9ECh. 10.2 - Understanding a Two-Way Table Hypothesis Test....Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Survey Results. In Exercises 1114, assume that a...Ch. 10.2 - Prob. 15ECh. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Complete Hypothesis Test. In Exercises 1522, carry...Ch. 10.2 - Prob. 20ECh. 10.2 - Prob. 21ECh. 10.2 - Prob. 22ECh. 10.3 - ANOVA. What does ANOVA stand for? What is the...Ch. 10.3 - Prob. 2ECh. 10.3 - Variance in ANOVA. Describe and distinguish...Ch. 10.3 - Test Statistic F. What is the meaning of small and...Ch. 10.3 - Prob. 5ECh. 10.3 - Prob. 6ECh. 10.3 - Does It Make Sense? For Exercises 58, determine...Ch. 10.3 - Does It Make Sense? For Exercises 58, determine...Ch. 10.3 - Prob. 9ECh. 10.3 - Comparing Colleges. A researcher obtains random...Ch. 10.3 - Readability of Authors. Samples of Flesch-Kincaid...Ch. 10.3 - Fabric Flammability Tests in Different...Ch. 10.3 - Prob. 13ECh. 10.3 - Pulse Rates. A random sample of adult females is...Ch. 10.3 - Using Technology. In Exercises 1518, use software...Ch. 10.3 - Using Technology. In Exercises 1518, use software...Ch. 10.3 - Prob. 17ECh. 10.3 - Using Technology. In Exercises 1518, use software...Ch. 10 - In Exercises 13, use the following service times...Ch. 10 - In Exercises 13, use the following service times...Ch. 10 - In Exercises 13, use the following service times...Ch. 10 - Prob. 4CRECh. 10 - Prob. 1CQCh. 10 - As part of the results from the test described in...Ch. 10 - For the hypothesis test described in Exercise 1,...Ch. 10 - A simple random sample of 25 blood platelet counts...Ch. 10 - Prob. 5CQCh. 10 - Prob. 6CQCh. 10 - Prob. 7CQCh. 10 - If the hypothesis test of the claim described in...Ch. 10 - A two-way table, constructed from survey results,...Ch. 10 - Prob. 10CQ
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
- Q. Table provided gives data on gross domestic product (GDP) for the United States for the years 1959–2005. a. Plot the GDP data in current and constant (i.e., 2000) dollars against time. b. Letting Y denote GDP and X time (measured chronologically starting with 1 for 1959, 2 for 1960, through 47 for 2005), see if the following model fits the GDP data: Yt = β1 + β2 Xt + ut Estimate this model for both current and constant-dollar GDP. c. How would you interpret β2? d. If there is a difference between β2 estimated for current-dollar GDP and that estimated for constant-dollar GDP, what explains the difference? e. From your results what can you say about the nature of inflation in the United States over the sample period?arrow_forwardA relationship expert wants to know if people with higher levels of emotional intelligence (measured on an interval scale from 1–6, with higher numbers meaning more intelligence) will be better liked upon first meeting people (measured on a 1–5 interval scale, with higher numbers meaning more likable). X: Emotional Intelligence Score X: First Impression Rating 6 1 2.5 4 M=3.38 s=2.14 SS = 13.69 Y: First Impression Rating 5 1.5 3 3.5 M=3.25 s=1.44 SS = 6.25 a) Create a scatterplot of the data. b) Calculate r and r2 . c) Report results in APA style. d) What do the results mean?arrow_forward2.62 For the period 2001–2008, the Bristol-Myers Squibb Company, Inc. reported the following amounts (in billions of dollars) for (1) net sales and (2) advertising and product promotion. The data are also in the file XR02062. Source: Bristol-Myers Squibb Company, Annual Reports, 2005, 2008. Year Net Sales Advertising/Promotion 2001 $16.612 $1.201 2002 16.208 1.143 2003 18.653 1.416 2004 19.380 1.411 2005 19.207 1.476 2006 16.208 1.304 2007 18.193 1.415 2008 20.597 1.550 For these data, construct a line graph that shows both net sales and expenditures for advertising/product promotion over time. Some would suggest that increases in advertising should be accompanied by increases in sales. Does your line graph support this?arrow_forward
- Using the data in Table 6–11, calculate a 3-month moving average forecast for month 12.arrow_forwardA relationship expert wants to know if people with higher levels of emotionalintelligence (measured on an interval scale from 1–6, with higher numbers meaning more intelligence) will be better liked upon first meeting people (measured on a 1–5 interval scale, with higher numbers meaning more likable). X: Emotional Intelligence Score Y: First Impression Rating 6 4.5 2.5 3.2 3 3 1 2 M=3.13s=2.10SS = 13.19 M=3.18s=1.03SS = 3.17 c) Report results in APA style.d) What do the results mean?arrow_forwardA relationship expert wants to know if people with higher levels of emotionalintelligence (measured on an interval scale from 1–6, with higher numbers meaning more intelligence) will be better liked upon first meeting people (measured on a 1–5 interval scale, with higher numbers meaning more likable). X: Emotional Intelligence Score Y: First Impression Rating 6 4.5 3 3.2 2.5 3 1 2 M=3.13s=2.10SS = 13.19 M=3.18s=1.03SS = 3.17 a) Create a scatterplot of the data.b) Calculate r and r2 .c) Report results in APA style.d) What do the results mean?arrow_forward
- section 4.1 #30 In Exercises 25–30, determine whether the association between the two variables is positive or negative. Weekly ice cream sales and weekly average temperaturearrow_forwardQ1. The table provided gives data on indexes of output per hour (X) and real compensation per hour (Y) for the business and nonfarm business sectors of the U.S. economy for 1960–2005. The base year of the indexes is 1992 = 100 and the indexes are seasonally adjusted. a. Plot Y against X for the two sectors separately. b. What is the economic theory behind the relationship between the two variables? Does the scattergram support the theory? c. Estimate the OLS regression of Y on X. Note: on the table ( 1. Output refers to real gross domestic product in the sector. 2. Wages and salaries of employees plus employers’ contributions for social insurance and private benefit plans. 3. Hourly compensation divided by the consumer price index for all urban consumers for recent quarters.) Thank you!arrow_forwardpls. answer using 7 steps:-Parameter of interest-Null hypothesisAlternative hypothesis -Test statistic -Reject H0 if: -Computations: -Conclusionarrow_forward
- Nielsen tracks the amount of time that people spend consuming media content across different platforms (digital, audio, television) in the United States. Nielsen has found that traditional television viewing habits vary based on the age of the consumer as an increasing number of people consume media through streaming devices.† The following data represent the weekly traditional TV viewing hours in 2016 for a sample of 14 people aged 18–34 and 12 people aged 35–49. (Round your answers to two decimal places.) Viewers aged 18–34 24.2 21.0 17.8 19.6 23.4 19.1 14.6 27.1 19.2 18.3 22.9 23.4 17.3 20.5 Viewers aged 35–49 24.9 34.9 35.8 31.9 35.4 29.9 30.9 36.7 36.2 33.8 29.5 30.8 (a) Compute the mean and median weekly hours of traditional TV viewed by those aged 18–34.arrow_forwardUsing the data in Table 6–11, calculate a 3-month moving average forecastfor month 12.arrow_forwardBatch 1 2 3 4 7 8 6. 10 40.2 43.1 42.4 39.8 43.1 41.5 40.7 39.2 38.9 41.9 R 1.3 1.5 1.8 0.6 2.1 1.4 1.6 1.1 1.3 1.5arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Statistics 4.1 Point Estimators; Author: Dr. Jack L. Jackson II;https://www.youtube.com/watch?v=2MrI0J8XCEE;License: Standard YouTube License, CC-BY
Statistics 101: Point Estimators; Author: Brandon Foltz;https://www.youtube.com/watch?v=4v41z3HwLaM;License: Standard YouTube License, CC-BY
Central limit theorem; Author: 365 Data Science;https://www.youtube.com/watch?v=b5xQmk9veZ4;License: Standard YouTube License, CC-BY
Point Estimate Definition & Example; Author: Prof. Essa;https://www.youtube.com/watch?v=OTVwtvQmSn0;License: Standard Youtube License
Point Estimation; Author: Vamsidhar Ambatipudi;https://www.youtube.com/watch?v=flqhlM2bZWc;License: Standard Youtube License