Concept explainers
Protective Orders. In the article “Judicial Dispositions of Ex-Parte and Domestic Violence Protection Order Hearings: A Comparative Analysis of Victim Requests and Court Authorized Relief” (Journal of Family Violence, Vol. 20, No. 3, pp. 161–170), D. Year-wood looked at the discrepancies between what a victim of domestic violence requests and what the courts reward. The following
Compute the following conditional probabilities directly; that is, do not use the conditional
- a. a Black.
- b. a white female.
- c. a male, given that the filer was white.
- d. a male, given that the filer was Black.
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- Urban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forwardThe table below shows the auto insurance quotes for two leading companies for a sample of 15 families. Assume the populations SDs are similar, but unknown. The President of the American Insurance Institute wants to compare the yearly costs of such insurance offered by the two companies. At the 0.10 level of significance, can we conclude that there is a difference in the amounts quoted? Families Southern Car American Mutual ($) ($) 1 2090 1610 2 1683 1247 3 1402 2327 4 1830 1367 5 930 1461 6 697 1789 7 1741 1621 8 1129 1914 9 1018 1956 10 1881 1772 11 1571 1375 12 874 1527 13 1579 1767 14 1577 1636 15 860 1188arrow_forwardBank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was = $844, and the sample standard deviation was sd = $1,166. C) What is the point estimate of the difference between the population means? $ What is the 95% confidence interval estimate of the difference between the population means (to the nearest whole number)? ( need amount, need amount)arrow_forward
- The University of Michigan Health and Retirement Study (HRS) surveys more than 22,000 Americans over the age of 50 every two years. A subsample of the HRS participated in an Internet-based survey that collected information on a number of topical areas, including health (physical and mental health behaviors), psychosocial items, economics (income, assets, expectations, and consumption), and retirement. Two of the questions asked were: "Would you say your health is excellent, very good, good, fair, or poor?" and “Do you smoke cigarettes now?" Here is the two-way table that summarizes the answers on these two questions: Current smoker Нealth Yes No Excellent 25 484 Very good 115 1557 Good 145 1309 Fair 90 545 Рoor 29 11 This table gives the responses of a survey of 4310 Americans to questions about their health and whether they currently smoke cigarettes. You might find this chi-square table useful. Do these data satisfy our guidelines for safe use of the chi-square test? Enter your…arrow_forwardBank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d = $801, and the sample standard deviation was sd = $1,107. -What is the point estimate of the difference between the population means? $_______ -What is the 95% confidence interval estimate of the difference between the population means (to the nearest whole number)? (_______ , ________)arrow_forwardBank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample means difference was = $838, and the sample standard deviation was sd = $1,204. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out.H0: d Selectgreater than or equal to 0greater than 0less than or equal to 0less than 0equal to 0not equal to 0Item 1Ha: d Selectgreater than or equal to 0greater than 0less than or…arrow_forward
- Bank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was = $836, and the sample standard deviation was sd = $1,106. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out.H0: d Ha: d Use a .05 level of significance. What is the p-value?The p-value is Can you conclude that the population means differ? Which category, groceries or dining out, has a…arrow_forwardBank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference d - = $813, and the sample standard deviation was sa = $1,121. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Họ: 4 a Select Ha: 4d Select was b. Use a .05 level of significance. What is the p-value? The p-value is Select Can you conclude that the population means differ? Select c. Which…arrow_forwardBank of America's Consumer Spending Survey collected data on annual credit card charges in seven different categories of expenditures: transportation, groceries, dining out, household expenses, home furnishings, apparel, and entertainment (U.S. Airways Attache, December 2003). Using data from a sample of 42 credit card accounts, assume that each account was used to identify the annual credit card charges for groceries (population 1) and the annual credit card charges for dining out (population 2). Using the difference data, the sample mean difference was d $829, and the sample standard deviation was sd = $1,087. a. Formulate the null and alternative hypotheses to test for no difference between the population mean credit card charges for groceries and the population mean credit card charges for dining out. Họ: u d equal to 0 Hạ: l d not equal to 0 b. Use a .05 level of significance. What is the p-value? The p-value is less than .01 Can you conclude that the population means differ?…arrow_forward
- An MBA director examined GMAT scores for the first 10 MBA applicants (assumed to be a ran- dom sample of early applicants) for four academic quarters. Research question: Do the mean GMAT scores for early applicants differ by quarter? GMAT GMAT Scores of First Ten Applicants Fall 490 580 440 580 Winter 310 590 730 710 Spring 500 450 510 570 Summer 450 590 710 240 640 470 530 390 500 450 590 640 550 540 430 420 540 450 670 610 490 510 670 610 640 470 650 540arrow_forwardThe report Controlling Road Rage: A Literature Review and Pilot Study was prepared for the AAA Foundation for Traffic Safety by D. Rathbone and J. Huckabee. The authors discussed the results of a literature review and pilot study on how to prevent aggressive driving and road rage. Road rage is defined as “… an incident in which an angry or impatient motorist or passenger intentionally injures or kills another motorist, passenger, or pedestrian, or attempts or threatens to injure or kill another motorist, passenger, or pedestrian.” One aspect of the study was to investigate road rage as a function of the day of the week. The following table provides a frequency distribution for the days on which 69 road-rage incidents occurred. Day Frequency Sunday 5 Monday 5 Tuesday 11 Wednesday 12 Thursday 11 Friday 18 Saturday 7 At the 5% significance level, do the data provide sufficient evidence to conclude that road-rage incidents are more likely to occur on…arrow_forwardThe report Controlling Road Rage: A Literature Review and Pilot Study was prepared for the AAA Foundation for Traffic Safety by D. Rathbone and J. Huckabee. The authors discussed the results of a literature review and pilot study on how to prevent aggressive driving and road rage. Road rage is defined as “... an incident in which an angry or impatient motorist or passenger intentionally injures or kills another motorist, passenger, or pedestrian, or attempts or threatens to injure or kill another motorist, passenger, or pedestrian.” One aspect of the study was to investigate road rage as a function of the day of the week. The following table provides a frequency distribution for the days on which 69 road-rage incidents occurred. Day Frequency Sunday 5 Monday 5 Tuesday 11 Wednesday 12 Thursday 11 Friday 18 Saturday 7 At the 5% significance level, do the data provide sufficient evidence to conclude that road-rage incidents are more likely to occur on some days…arrow_forward
- Functions and Change: A Modeling Approach to Coll...AlgebraISBN:9781337111348Author:Bruce Crauder, Benny Evans, Alan NoellPublisher:Cengage LearningGlencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill