A rent-to-own (RTO) agreement appeals to low-income and financiallydistressed consumers. It allows immediate access to merchandise, and bymaking all payments, the consumer acquires the merchandise. At the sametime, goods can be returned at any point without penalty. Suppose a recentstudy documents that 65% of RTO contracts are returned, 30% arepurchased, and the remaining 5% default. In order to test the validity of thisstudy, an RTO researcher looks at the transaction data of 420 RTO contractsof which 283 are returned, 109 are purchased, and the rest defaulted. (Youmay find it useful to reference the appropriate table: chi-square table or Ftable)a. Choose the appropriate alternative hypothesis to test whether the return,purchase, and default probabilities of RTO contracts differ from 0.65, 0.30,and 0.05, respectively.At least one of the pi (i= 1, 2, 3) differs from its hypothesized value.All pi (i= 1, 2, 3) values differ from its hypothesized value.

This question is based on categorical data analysis. The chi square test of homogeneity of prop have…

Answered: аppea ally distressed consumers. It…

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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Urgent Care is organized in to 4 department: Registration (Reg), Waiting (Wait), Treatment (Treat), and Payment & Check Out (PCO). For all patients who receive treatment at the Urgent Care, the expected time (in minutes) per patient needed in each of the departments: Reg. Wait. Treatment PCO 10 15 30 3 or 2 All patients enter and register at the registration cubicle. After registering, 10% of the patients walk out without waiting and seeing the physician for treatment. However, still they have to walk through the PCO & return the admissions slip. These patients need only 2 min at PCO (instead of 3 min for the patients receiving treatment). No waiting and treatment time for patients who walk out. Simulate the total time spent in the Urgent care for the second patient. Total time spent by Patient 2 at the Urgent Care is: . RN: .55 A. 58 B.57 C.2 D. None of these
Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day. A sample of 64 stocks traded on the NYSE that day showed that 12 went up. You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of a = 0.02. What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value W The p-value is... O less than (or equal to) a Ogreater than a This test statistic leads to a decision to... O reject the null Oaccept the null fail to…
The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 8.9% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. 1) Assuming his suspicion that 8.9% of his customers buy a magazine is correct, what is the probability that exactly 2 out of the first 11 customers buy a magazine? Give your answer as a decimal number rounded to two digits. 2)What is the expected number of customers from this sample that will buy a magazine?
Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 61 stocks traded on the NYSE that day showed that 22 went up.You are conducting a study to see if the proportion of stocks that went up is is significantly more than 0.3. You use a significance level of α=0.002.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value =
4
Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 62 stocks traded on the NYSE that day showed that 10 went up.You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of α=0.10α=0.10.What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.) p-value =
Meier and Frank is a chain of department stores located in the Northwest. The company has issued its own credit cards for a number of years. As a new employee in the finance department, imagine that you have been assigned to a major investigation of the firm’s credit policies designed to reduce bad debt losses. You are requested to investigate the relationship between marital status at the time the card is issued and the subsequent payment record of the individual. You randomly select 100 credit cards issued three years previously. Of the 70 individuals that were married at the time the cards were issued, 11 have defaulted on a payment. Of the 30 individuals who were single when the cards were issued, 7 have defaulted. Do these data present sufficient evidence to indicate that marital status affects credit-worthiness? Use Alpha = 0.05.
Many investors and financial analysts believe the Dow Jones Industrial Average (DJIA) gives a good barometer of the overall stock market. On January 31, 2006, 9 of the 30 stocks making up the DJIA increased in price (The Wall Street Journal, February 1, 2006). On the basis of this fact, a financial analyst claims we can assume that 30% of the stocks traded on the New York Stock Exchange (NYSE) went up the same day.A sample of 51 stocks traded on the NYSE that day showed that 8 went up.You are conducting a study to see if the proportion of stocks that went up is significantly less than 0.3. You use a significance level of α=0.001α=0.001.What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic = What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = The p-value is... This test statistic leads to a decision to... As such, the final conclusion is that...
AutoWrecks, Inc. sells auto insurance. AutoWrecks keeps close tabs on its customers' driving records, updating its rates according to the trends indicated by these records. AutoWrecks' records indicate that, in a "typical" year, roughly 70% of the company's customers do not commit a moving violation, 10% commit exactly one moving violation, 15% commit exactly two moving violations, and 5% commit three or more moving violations. This past year's driving records for a random sample of 100 AutoWrecks customers are summarized by the first row of numbers in the table below. That row gives this year's observed frequency for each moving violation category for the sample of 100 AutoWrecks customers. The second row of numbers gives the frequencies expected for a sample of 100 AutoWrecks customers if the moving violations distribution for this year is the same as the distribution for a "typical" year. The bottom row of numbers contains the following value for each of the moving violation…
How common are financial cost or contractual constraints associated with smartphone ownership? A survey of smartphone users found that 48% of the 18- to29-year-olds, 39% of the 30- to 49-year-olds, 24% of the 50- to 64-year-olds, and 19% of those aged 65 or older have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion: Suppose the survey was based on 300 smartphone owners in each of the four age groups: 18 to 29, 30 to 49, 50 to 64, and 65 and older. Complete parts (a) through (c). a. At the 0.05 level of significance, is there evidence of a difference among the age groups in the proportion of smartphone owners who have reached the maximum amount of data they are allowed to use as part of their plan, at least on occasion? The test statistic is χ2STAT= (Round to three decimal places as needed.) I am struggling in finding the expected frequency can you show in detail how you accomplish this for each…
The owner of a small deli is trying to decide whether to discontinue selling magazines. He suspects that only 8.5% of his customers buy a magazine and he thinks that he might be able to use the display space to sell something more profitable. Before making a final decision, he decides that for one day he will keep track of the number of customers that buy a magazine. Assuming his suspicion that 8.5% of his customers buy a magazine is correct, what is the probability that exactly 6 out of the first 10 customers buy a magazine? 0.0000814185 0.0000919488 0.0000555159 0.0000341752 0.0000592918 0.0000234680
A variety of stores offer loyalty programs. Participating shoppers swipe a bar-coded tag at the register when checking out and receive discounts on certain purchases. Stores benefit by gleaning information about shopping habits and hope to encourage shoppers to spend more. A typical Saturday morning shopper who does not participate in this program spends $150 on her or his order. In a sample of 80 shoppers participating in the loyalty program, each shopper spent $160 on average during a recent Saturday, with standard deviations = $40. Is this statistical proof that the shoppers participating in the loyalty program spend more on average than typical shoppers? (Assume that the data meet the sample size condition.) Complete parts a-d. ..... (a) State the null and alternative hypotheses. Describe the parameters. Choose the correct answer below. O A. Ho: µs $150 vs Ha: µ> $150; µ is the average spent by a shopper not in the program. B. Ho: µs $150 vs Hạ: µ> $150; µ is the average spent by a…

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