The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary T. 30 40 50 60 70 80 90 Salary (thousands of $)
Q: The boxplot below shows salaries for Actuaries and CPAS. СРА Actuary 30 40 50 60 70 80 90 100 110…
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Q: The boxplot below shows salaries for Actuaries and CPAS. CPA Actuary 100 110 70 Salary (thousands of…
A:
Q: The boxplot below shows salaries for CPAS and Actuaries in a town. СРА Actuary 20 30 40 50 60 70 80…
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Q: The boxplot below shows salaries for Actuaries and CPAS. СРА Actuary 30 40 50 60 70 80 90 Salary…
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Q: The boxplot below shows salaries for Actuaries and CPAS. СРА Actuary 30 40 50 60 70 80 90 100 110…
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Q: The boxplot below shows salaries for Actuaries and CPAS. CPA Actuary 90 100 110 30 40 50 60 70 80…
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4question 1 Porshe shoes Store sells a shoes with discounts of 15 percent and 20 percent, while Judy Shoes Store sells the same type of shoes with discounts of 10 percent, 10 percent and 15 percent. (i) Determine which store offers a higher discount.Question 9 The relationship between annual salary (in US dollars) and race was estimated as below in a linear format. (White employees were coded as 0 and Non-White employees were coded as 1.) Annual Salary = -17,472 * Non-White + 48,253 (The p-value for the coefficient of Non-White is 0.01.) Base on the above equation, which of the following statements are true? A.) White employees are expected to receive 17,472 dollars more than non-white employees. B.) In the sample used to estimate the equation, the average pay of non-white employees is 17,472 dollars. C.)In the sample used to estimate the equation, the average pay of white employees is 30,781 dollars. D.)In the sample used to estimate the equation, the average pay of non-white employees is 48,253 dollars.
- If a payoff is equally likely to be $1, $2, $3, $4, or $5, the coefficient of variation is: Group of answer choicesIn general, ___________% of the values in a data set lie at or below the 28 th percentile. _______________ % of the values in a data set lie at or above the 90 th percentile.. If a sample consists of 700 test scores, _________of them would be at or below the 52 th percentile. If a sample consists of 700 test scores, ________ of them would be at or above the 64 th percentile.In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 463 eggs in group I boxes, of which a field count showed about 280 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 812 eggs in group II boxes, of which a field count showed about 274 hatched. (a) Find a point estimate p̂1 for p1, the proportion of eggs that hatch in group I nest box placements. (Round your answer to three decimal places.)p̂1 = Find a 99% confidence interval for p1. (Round your answers to three decimal places.) lower limit upper limit (b) Find a point estimate p̂2 for p2, the proportion of eggs that hatch in group II nest box placements. (Round your answer to three decimal places.)p̂2 = Find a 99% confidence interval for p2. (Round…
- In the Focus Problem at the beginning of this chapter, a study was described comparing the hatch ratios of wood duck nesting boxes. Group I nesting boxes were well separated from each other and well hidden by available brush. There were a total of 489 eggs in group I boxes, of which a field count showed about 272 hatched. Group II nesting boxes were placed in highly visible locations and grouped closely together. There were a total of 821 eggs in group II boxes, of which a field count showed about 262 hatched. (a) Find a point estimate p̂1 for p1, the proportion of eggs that hatch in group I nest box placements. (Round your answer to four decimal places.) p̂1 = Find a 95% confidence interval for p1. (Round your answers to three decimal places.) lower limitupper limit (b) Find a point estimate p̂2 for p2, the proportion of eggs that hatch in group II nest box placements. (Round your answer to four decimal places.) p̂2 = Find a 95% confidence interval for p2. (Round your…The source depicts the results of a fictional study investigating whether the number of hours of sleep a person gets varies with his or her gender(male,female) and with the number of energy drinks that he or she consumes in a day. Equal numbers of men and women were randomly assigned to drink either 0, 1, or 2 energy drinks during the course of a day and then record the number of hours they slept that night. Table: Coffee and Sleep Source SS df MS F Gender 0.250 1 0.250 0.283 Energy Drinks 81.556 2 40.778 46.180 Gender X Drinks 2.667 2 1.330 1.510 Within…QUESTION 17 DATAfile: NFLTeamValue In 2014, the 32 teams in the National Football League (NFL) were worth, on average, $1.17 billion, 5% more than in 2013. The following data show the annual revenue ($ millions) and the estimated team value ($ millions) for the 32 NFL teams in 2014.† Team Revenue($ millions) CurrentValue($ millions) ArizonaCardinals 253 961 AtlantaFalcons 252 933 BaltimoreRavens 292 1,227 BuffaloBills 256 870 CarolinaPanthers 271 1,057 ChicagoBears 298 1,252 CincinnatiBengals 250 924 ClevelandBrowns 264 1,005 DallasCowboys 539 2,300 DenverBroncos 283 1,161 DetroitLions 248 900 Green BayPackers 282 1,183 HoustonTexans 320 1,450 IndianapolisColts 276 1,200 JacksonvilleJaguars 260 840 Kansas CityChiefs 245 1,009 Team Revenue($ millions) CurrentValue($ millions) MiamiDolphins 268 1,074 MinnesotaVikings 234 1,007 New EnglandPatriots 408 1,800 New OrleansSaints 276 1,004 New YorkGiants 338 1,550 New YorkJets 321…
- The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid. Bidders Price 9.0 5.1 9.0 8.0 3.0 9.7 10.0 7.8 5.0 7.7 10.0 5.5 7.0 8.3 11.0 5.5 6.0 10.3 6.0 8.0 4.0 8.8 7.0 9.4 7.0 8.6 7.0 8.1 6.0 7.8 Given: Correlation of Coefficient: 0.7064 (This is correct) Coefficient of determination: 49.90% (This is correct) ŷ = 11.2360 + (-0.4667)x (This is correct) Create a scatter plot of the data Complete a regression analysis of the relationship. Slope = ______ Estimate the winning bid if there were seven bidders. Winning bid cost ______ millions. Compute the 95% prediction interval for a winning bid if there are seven bidders. [ _____________, ______________]The National Highway Association is studying the relationship between the number of bidders on a highway project and the winning (lowest) bid for the project. Of particular interest is whether the number of bidders increases or decreases the amount of the winning bid. Bidders Price 9.0 5.1 9.0 8.0 3.0 9.7 10.0 7.8 5.0 7.7 10.0 5.5 7.0 8.3 11.0 5.5 6.0 10.3 6.0 8.0 4.0 8.8 7.0 9.4 7.0 8.6 7.0 8.1 6.0 7.8 GIVEN: correlation coefficient: - 0.7064 Slope: -0.4667 Coefficient of determination: 49.90% regression equation: ŷ= 11.2360 + (-4467)x FIND: Estimate the winning bid if there were seven bidders. Winning bid cost _________ millions. Explain. Compute the 95% prediction interval for a winning bid if there are seven bidders. [ _______________ , _______________ ] (Explain).Question 8 The relationship between annual salary (in US dollars) and race was estimated as below in a linear format. (White employees were coded as 0 and Non-White employees were coded as 1.) Annual Salary = -17,472 * Non-White + 48,253 (The p-value for the coefficient of Non-White is 0.01.) How can the relationship between race and annual salary be interpreted? A.) White employees are expected to receive 17,472 dollars more than non-white employees. B.) White employees are expected to receive 17,472 dollars less than non-white employees. C.)There is no meaningful difference in annual salary between white and non-white employees from a statistical point of view. D.) White employees are expected to receive 48,253 dollars more than non-white employees.