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m458Four brands of lightbulbs are being considered for use in the final assembly area of the Ford F-150 truck plant in Dearborn, Michigan. The director of purchasing asked for samples of 100 from each manufacturer. The numbers of acceptable and unacceptable bulbs from each manufacturer are shown below. At the .05 significance level, is there a difference in the quality of thebulbs? buy
m459Four women’s college basketball teams are participating in a single-elimination holiday basketball tournament. If one team is favored in its semifinal match by odds of 2 to 1 and another squad is favored in its contest by odds of 3 to 1, what is the probability that: a. Both favored teams win their games? b. Neither favored team wins its game? c. At least one of the favored teams wins its game? buy
m461Fred G. Hire is the manager of human resources at Crescent Tool and Die Inc. As part of his yearly report to the CEO, he is required to present an analysis of the salaried employees. Because there are over 1,000 employees, he does not have the staff to gather information on each salaried employee, so he selects a random sample of 30. For each employee, he records monthly salary; service at Crescent, in months; gender (1 = male, 0 = female); and whether the employee has a technical or clerical job. Those working technical jobs are coded 1, and those who are clerical 0.  a. Determine the regression equation, using salary as the dependent variable and the other four variables as independent variables. b. What is the value of R2? Comment on this value c. Conduct a global test of hypothesis to determine whether any of the independent variables are different from 0. d. Conduct an individual test to determine whether any of the independent variables can be dropped. e. Rerun the regression equation, using only the independent variables that are significant. How much more does a man earn per month than a woman? Does it make a difference whether the employee has a technical or a clericaljob? doc
m462From 500 customers, a major appliance manufacturer will randomly select a sample without replacement. The company estimates that 25% of the customers will provide useful data. If this estimate is correct, what is the probability mass function of the number of customers that will provide useful data? (a) Assume that the company samples 5 customers. (b) Assume that the company samples 10 customers. doc
m463Fruit prices and the amounts consumed for 2000 and 2014 are below. Use 2000 as the base.  a. Determine the simple price indexes. b. Determine the simple aggregate price index price index. for the two years. c. Determine Laspeyres price index. d. Determine the Paasche e. Determine Fisher’s idealindex. buy
m464Fry Brothers Heating and Air Conditioning Inc. employs Larry Clark and George Murnen to make service calls to repair furnaces and air-conditioning units in homes. Tom Fry, the owner, would like to know whether there is a difference in the mean number of service calls they make per day. Assume the population standard deviation for Larry Clark is 1.05 calls per day and 1.23 calls per day for George Murnen. A random sample of 40 days last year showed that Larry Clark made an average of 4.77 calls per day. For a sample of 50 days George Murnen made an average of 5.02 calls per day. At the .05 significance level, is there a difference in the mean number of calls per day between the two employees? What is the p-value? buy
m468f(x) = (3/4) (1/4)x , x = 0,1,2,... (a) P (X = 2) (b) P (X < 2) (c) P (X >2) (d) P (X > 1) buy
m471Geoff Brown is the manager for a small telemarketing firm and is evaluating the sales rate of experienced workers in order to set minimum standards for new hires. During the past few weeks, he has recorded the number of successful calls per hour for the staff. These data appear next along with some summary statistics he worked out with a statistical software package. Geoff has been a student at the local community college and has heard of many different kinds of probability distributions (binomial, normal, hyper geometric, Poisson, etc.). Could you give Geoff some advice on which distribution to use to fit these data as well as possible and how to decide when a probationary employee should be accepted as having reached full production status? This is important because it means a pay raise for the employee, and there have been some probationary employees in the past who have quit because of discouragement that they would never meet the standard. Successful sales calls per hour during the week of August 14:  Descriptive statistics:  Which distribution do you think Geoff should use for hisanalysis? buy
m472GfK Custom Research North America conducted identical surveys 5 years apart. One question asked of women was “Are most men basically kind, gentle, and thoughtful?” The earlier survey revealed that, of the 3,000 women surveyed, 2,010 said that they were. The later revealed 1,530 of the 3,000 women surveyed thought that men were kind, gentle, and thoughtful. At the .05 level, can we conclude that women think men are less kind, gentle, and thoughtful in the later survey compared with the earlier one? buy
m473Gibbs Baby Food Company wishes to compare the weight gain of infants using its brand versus its competitor’s. A sample of 40 babies using the Gibbs products revealed a mean weight gain of 7.6 pounds in the first three months after birth. For the Gibbs brand, the population standard deviation of the sample is 2.3 pounds. A sample of 55 babies using the competitor’s brand revealed a mean increase in weight of 8.1 pounds. The population standard deviation is 2.9 pounds. At the .05 significance level, can we conclude that babies using the Gibbs brand gained less weight? Compute the p-value and interpret it. buy
m475Given the following ANOVA table:  a. Determine the coefficient of determination. b. Assuming a direct relationship between the variables, what is the correlation coefficient? c. Determine the standard error ofestimate.
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m476Given the following hypotheses: H0: µ = 10 H1: µ ≠10 A random sample of 12 observations is selected from a normal population. The sample mean was 407 and the sample standard deviation 6. Using the .01 significance level: a. State the decision rule. b. Compute the value of the test statistic. c. What is your decision regarding the null hypothesis? doc
m477Given the following hypotheses: H0: µ ≤ 10 H1: µ > 10 A random sample of 10 observations is selected from a normal population. The sample mean was 12 and the sample standard deviation 3. Using the .05 significance level: a. State the decision rule. b. Compute the value of the test statistic. c. What is your decision regarding the null hypothesis?
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m478Given the following hypotheses: H0: µ = 100 H1: µ ≠ 100 A random sample of six resulted in the following values: 118, 105, 112, 119, 105, and 111. Assume a normal population. Using the .05 significance level, can we conclude the mean is different from 100? a. State the decision rule. b. Compute the value of the test statistic. c. What is your decision regarding the null hypothesis? d. Estimate the p-value. doc
m479Given the following hypotheses: H0: µ ≥20 H1: µ < 20 A random sample of five resulted in the following values: 18, 15, 12, 19, and 21. Assume a normal population. Using the .01 significance level, can we conclude the population mean is less than 20? a. State the decision rule. b. Compute the value of the test statistic. c. What is your decision regarding the null hypothesis? d. Estimate the p-value. doc
m480Given the following regression output,  Answer the following questions: a. Write the regression equation. b. If x1 is 4 and x2 is 11, what is the expected or predicted value of the dependent variable? c. How large is the sample? How many independent variables are there? d. Conduct a global test of hypothesis to see if any of the set of regression coefficients could be different from 0. Use the .05 significance level. What is your conclusion? e. Conduct a test of hypothesis for each independent variable. Use the .05 significance level. Which variable would you consider eliminating? f. Outline a strategy for deleting independent variables in thiscase. buy
m481Given the following sample of five observations, develop a scatter diagram, using x as the independent variable and y as the dependent variable, and compute the correlation coefficient. Does the relationship between the variables appear to be linear? Try squaring the x variable and then develop a scatter diagram and determine the correlation coefficient. Summarize youranalysis. buy
m482Grand Strand Family Medical Center treats minor medical emergencies for visitors to the Myrtle Beach area. There are two facilities, one in the Little River Area and the other in Murrells Inlet. The Quality Assurance Department wishes to compare the mean waiting time for patients at the two locations. Samples of the waiting times for each location, reported in minutes, follow:  Assume the population standard deviations are not the same. At the .05 significance level, is there a difference in the mean waitingtime? buy
m484Great Plains Roofing and Siding Company Inc. sells roofing and siding products to home repair retailers, such as Lowe’s and Home Depot, and commercial contractors. The owner is interested in studying the effects of several variables on the value of shingles sold ($000). The marketing manager is arguing that the company should spend more money on advertising, while a market researcher suggests it should focus more on making its brand and product more distinct from its competitors. The company has divided the United States into 26 marketing districts. In each district, it collected information on the following variables: volume of sales (in thousands of dollars), advertising dollars (in thousands), number of active accounts, number of competing brands, and a rating of district potential.  Conduct a multiple regression analysis to find the best predictors of sales. a. Draw a scatter diagram comparing sales volume with each of the independent variables. Comment on the results. b. Develop a correlation matrix. Do you see any problems? Does it appear there are any redundant independent variables? c. Develop a regression equation. Conduct the global test. Can we conclude that some of the independent variables are useful in explaining the variation in the dependent variable? d. Conduct a test of each of the independent variables. Are there any that should be dropped? e. Refine the regression equation so the remaining variables are all significant. f. Develop a histogram o buy
m485Grills Video Products purchases LCDs from Mira Electronics. According to his sampling plan, Art Grills, owner of Grills Video, will accept a shipment of LCDs if 3 or fewer are defective in a sample of 25. Develop an OC curve for these percents defective: 10%, 20%, 30%, and 40%. You will need a statistical software package. buy
 
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