A health statistics agency in a certain country tracks the number of adults who have health insurance. Suppose according to the agency, theuninsured rates in a recent year are as follows: 5.2% of those under the age of 18, 12.9% of those ages 18-64, and 1.3% of those 65 and older donot have health insurance. Suppose 22.4% of people in the county are under age 18, and 62.3% are ages 18-64.(a) What is the probability that a randomly selected person in this country is 65 or older?15.3(b) Given that a person in this country is uninsured, what is the probability that the person is 65 or older? (Round your answer to three decimalplaces.)0.023X

Given,22.4% of people in the county are under age 18. That is, P(under age 18) = 22.4% = 0.224And…

Answered: A health statistics agency in a certain…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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3. A restaurant offers both dine-in and take-out service. Customers can pay for their meal in cash, by credit card, or by debit card. The restaurant owner wonders if there is an association between the method of payment and the type of service. To investigate, a random sample is selected from the orders placed during the last year and the method of payment and type of service is recorded for each of these orders. The data is summarized in the table below. Cash Credit Debit Dine-in 34 122 32 Take-out 70 95 47
A researcher would like to know whether there is a consistent, predictable relationship between ACT scores and GPA for high school students. A sample of 100 students is obtained from students who took the ACT in their Junior year. Based on the test results and gpa scores, students are classified as high or low for ACT and for GPA. The results are summarized in the following frequency distribution: ACT Score High Low High GPA 39 21 Low GPA 15 25 Based on the data, is there a significant relationship between ACT scores and GPA (α = .05). Compute the appropriate measure of association.
The following excerpt is from an article “State reports find fraud rate of 42% in auto body repairs,” published in the Sacramento Bee newspaper in September of 2003. The Bureau of Automotive Repair (BAR), a branch of the California Department of Consumer Affairs, investigates complaints about collision-repair shops in California. “For the past two years,... consumers have been steered to BAR to determine if their cars had been properly fixed by collision-repair shops across the state. Of the 1,315 vehicles inspected in the two-year BAR study that ended in June, 42 percent were overbilled for labor not performed or parts not supplied, Consumer Affairs Director Kathleen Hamilton said at a news conference last week.... The average loss was $812.” Is the following critique of the BAR study valid or invalid? The article continues, “John Walcher, vice president of Caliber Collision Centers, a chain of auto-repair shops, called the BAR report ‘statistically insignificant.’ During the study…
A company surveyed adult Americans about their consumer debt. The article reported that 48% of millennials (those born between 1980 and 1996) and 62% of Gen Xers (those born between 1965 and 1971) did not pay off their credit cards each month, and therefore carried a balance from month to month. Suppose that these percentages were based on representative samples of 450 millennials and 300 Gen Xers. Is there convincing evidence that the proportion of Gen Xers who do not pay off their credit cards each month is greater than this proportion for millennials? Test the appropriate hypotheses using a significance level of 0.05. (Let p1 be the proportion of Gen Xers who do not pay off their credit cards each month, and p2 be the proportion of Millennials who do not pay off their credit cards each month.) State the appropriate null and alternative hypotheses. H0: p1 − p2 = 0 Ha: p1 − p2 > 0 H0: p1 − p2 = 0 Ha: p1 − p2 < 0 H0: p1 − p2 > 0 Ha: p1 − p2 < 0 H0: p1 − p2 <…
The accompanying table contains historical data on staff salaries (in dollars per pupil) for 30 schools sampled in part of a country in the early 1970s. I need help with this part attached. 3.86 2.80 2.71 2.95 3.08 1.802.60 3.32 2.52 2.12 2.58 2.682.76 2.85 3.67 3.84 3.43 2.122.94 2.83 3.04 2.43 2.18 3.693.21 3.67 2.39 2.61 3.42 3.45 The sample mean is 2.9183 The sample standard deviation is 0.5495
A descriptive statistic is generally defined as: a. the entire group of interest about which we want to make conclusions. b. a single number or group of numbers that organize, summarize, and communicate a group of numerical observations. c. a subset, or smaller collection, of observations from the overall group of interest. d. using data to make general estimates about the overall group of interest.
1:03 Done Knowledge Check Observed frequency fo Expected frequency SE (fo-ƒE)² JE expected frequencies to two or more decimal places. REspañol yo responses to three or more decimal places. Send data to Excel www-awu.aleks.com AA Monday Tuesday Wednesday Thursday 29 18 0 28.00 3.571 34 28.00 1.286 Type of test statistic: (Choose one) ▼ Z (b) Find the value of the t more decimal places.) □ all 100 28 28.00 (a) Determine the type of test statistic to use. Chi-square Friday Total 31 0 0.000 0 Evelyn V Ć 140 Part 2 Answer the following to summarize the test of the hypothesis employee absences at this firm are equally likely on each of th weekdays. Use the 0.05 level of significance for the test. E (Round your answer to two or
24. On-Time Arrivals. The Air Travel Consumer Report is a monthly product of the Department of Transportation's Office of Avi- ation Enforcement and Proceedings. The report is designed to assist consumers with information on the quality of services provided by the airlines. Following are the percentages of on-time arrivals for June 2013 by the 16 reporting airlines. 93.1 87.5 77.9 77.3 76.1 73.8 73.0 72.5 71.1 70.6 69.8 69.6 69.0 66.0 65.9 61.8 a. Identify the classes for grouping these data, using cutpoint group- ing with classes of equal width 5 and a first lower class cutpoint of 60. b. Identify the class midpoints of the classes found in part (a). c. Construct frequency and relative-frequency distributions of the data based on your classes from part (a). d. Draw a frequency histogram of the data based on your classes from part (a). e. Round each observation to the nearest whole number, and then construct a stem-and-leaf diagram with two lines per stem. f. Obtain the greatest…
The average asking rent for 10 markets, and the corresponding monthly mortgage on the median priced home (including taxes and insurance) for 10 cities are given in Rent ($) Mortgage ($) City 1 840 539 City 2 1062 1002 City 3 823 626 City 4 779 711 City 5 796 655 City 6 1071 977 City 7 953 776 City 8 851 695 City 9 762 651 City 10 723 654 What is the quadratic regression model to predict the monthly mortgage on the median priced home, using average asking rent? Fill in the coefficient for the Quadratic independent variable (keep 3 decimal points).
In March 2017, 9,195 men took trips with median duration of 300 seconds, and 2,439 women took trips with median duration of 319 seconds, on New York City's ride sharing program, Citibike. Overall, what was the median duration of all Citibike ride trips that month? A. 304 seconds B. 315 seconds C. 309.5 seconds D. None of these. E. Cannot be determined
The average asking rent for 10 markets, and the corresponding monthly mortgage on the median priced home (including taxes and insurance) for 10 cities are given in Rent ($) Mortgage ($) City 1 840 539 City 2 1062 1002 City 3 823 626 City 4 779 711 City 5 796 655 City 6 1071 977 City 7 953 776 City 8 851 695 City 9 762 651 City 10 723 654 What is the simple linear regression model to predict the monthly mortgage on the median priced home, using average asking rent? Fill in the coefficient for the LINEAR independent variable (keep 2 decimal points).
The National Safety Council released the following data on the incidence rates for fatal or lost-worktime injuries per 100 employees for several industries in three recent years. Industry Year 1 Year 2 Year 3 Textile .46 .48 .69 Chemical .52 .62 .63 Communication .90 .72 .81 Machinery 1.50 1.74 2.10 Services 2.89 2.03 2.46 Nonferrous metals 1.80 1.92 2.00 Food 3.29 3.18 3.17 Government 5.73 4.43 4.00 Compute r for each pair for years and determine which years are most highly correlated

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