{"id":7578,"date":"2021-10-13T13:35:24","date_gmt":"2021-10-13T13:35:24","guid":{"rendered":"https:\/\/assignmenttutors.net\/blog\/carpetland-salespersons-average-8000-per-week-in-sales\/"},"modified":"2021-10-13T13:35:24","modified_gmt":"2021-10-13T13:35:24","slug":"carpetland-salespersons-average-8000-per-week-in-sales","status":"publish","type":"post","link":"https:\/\/assignmenttutors.net\/blog\/carpetland-salespersons-average-8000-per-week-in-sales\/","title":{"rendered":"Carpetland salespersons average $8,000 per week in sales"},"content":{"rendered":"
\n

Carpetland salespersons average $8,000 per week in sales.<\/p>\n

Steve Contois, the firm’s vice president, proposes a compensation<\/p>\n

plan with new selling incentives. Steve hopes that the results of a<\/p>\n

trial selling period will enable him to conclude that the compensation<\/p>\n

plan increases the average sales per salesperson.<\/p>\n

\u00a0<\/p>\n

A.Develop the appropriate null and alternative hypotheses.<\/p>\n

B.What is the Type I error in this situation? What are the consequences<\/p>\n

of making this error?<\/p>\n

C.What is the Type II error in this situation? What are the consequences<\/p>\n

of making this error?<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>Individuals filing federal income tax returns prior to March 31 received an average<\/p>\n

\u00a0<\/p>\n

refund of $1,056. Consider population of “last minute” filers who mail their tax return<\/p>\n

during the last five days of the income tax period (typically April 10 to 15).<\/p>\n

\u00a0<\/p>\n

A.A researcher suggests that a reason individuals wait until the last five days is that on average<\/p>\n

these individuals receive lower refunds than do early filers. Develop appropriate hypotheses<\/p>\n

such that rejection of H(o) will support the researcher’s contention.<\/p>\n

B.For a sample of 400 individuals who filed a tax return between April 10-15, the sample<\/p>\n

mean refund was $910. Based on prior experience, a population standard deviation of<\/p>\n

o = $1,600 may be assumed. What is the p-value?<\/p>\n

C.At a = .05, what is your conclusion?<\/p>\n

\u00a0<\/p>\n

D.Repeat the preceding hypothesis test using the critical value approach.<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>Commercial real estate prices and rental reates suffered substantial declines<\/p>\n

\u00a0<\/p>\n

in the past year (Newsweek article July 2009). These declines were particularly<\/p>\n

severe in Asia; annual lease rates in Tokyo, Hong Kong, and Singapore declined<\/p>\n

by 40% or more. Even with such large declines, annual lease rates in Asia were<\/p>\n

still higher than in many cities in Europe and the United States. Annual lease<\/p>\n

rates for a sample of 30 commercial properties in Hong Kong showed an average<\/p>\n

of $1,114 per square meter with a standard deviation of $230. Annual lease rates<\/p>\n

for a sample of 40 commercial properties in Paris showed an average lease rate of<\/p>\n

$989 per square meter with a standard deviation of $195.<\/p>\n

\u00a0<\/p>\n

A.On the basis of the sample results, can we conclude that the mean annual lease rate<\/p>\n

is higher in Hong Kong than in Paris? Develop appropriate null and alternative hypotheses.<\/p>\n

\u00a0<\/p>\n

B.Use a = .01. What is your conclusion? Are rental rates higher in Hong Kong than in Paris?<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>Airline travelers often choose which airport to fly from based on flight cost.<\/p>\n

\u00a0<\/p>\n

Cost data (in dollars) for a sample of flights to eight cities from Dayton, Ohio<\/p>\n

and Louisville, Kentucky were collected to help determine which of the two<\/p>\n

airports was more costly to fly from (2006 study). A researcher argued that it is<\/p>\n

significantly more costly to fly out of Dayton than Louisville. Use the sample data to<\/p>\n

see whether they support the researcher’s argument. Use a = .05 as the level of significance<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>The above data give the percentage of women working in five companies<\/p>\n

\u00a0<\/p>\n

in the retail and trade industry. The percentage of management jobs held<\/p>\n

by women in each company is also shown.<\/p>\n

\u00a0<\/p>\n

A.Develop a scatter diagram for these data with the percentage of women working<\/p>\n

in the company as the independant variable.<\/p>\n

B.What does the scatter diagram developed in part (a) indicate about the relationship<\/p>\n

between the two variables?<\/p>\n

C.Try to approximate the relationship between the percentage of women working<\/p>\n

in the company and the percentage of management jobs held by women in that company.<\/p>\n

D.Develop the estimated regression of equation by computing the values of B(o) and B(v).<\/p>\n

E.Predict the percentage of management jobs held by women in a company that has<\/p>\n

\u00a0<\/p>\n

60% women employees.<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>The estimated regression equation for these data is? = 7.6 + .9x.<\/p>\n

\u00a0<\/p>\n

What percentage of the total sum of squares can be accounted<\/p>\n

for by the estimated regression equation? What is the value of the<\/p>\n

\u00a0<\/p>\n

sample correlation coefficient?<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>A.Develop a scatter diagram with weight as the independent variable.<\/p>\n

\u00a0<\/p>\n

B.Does there appear to be any relationship between these two variables?<\/p>\n

C.Develop the estimated regression equation that could be used to predict<\/p>\n

the price given the weight.<\/p>\n

D.Test for the significance of the relationship at the .05 level of significance.<\/p>\n

\u00a0<\/p>\n

E.Did the estimated regression equation provide a good fit? Explain.<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>The following 2 X 3 contingency table contains observed frequencies for a sample<\/p>\n

\u00a0<\/p>\n

of 200. Test for independence of the row and column variables using the x (2) test<\/p>\n

\u00a0<\/p>\n

with a = .05.<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>The Goodman Tire and Rubber Company periodically tests its tires for tread wear under<\/p>\n

\u00a0<\/p>\n

simulated road conditions. To study and control the manufacturing process, 20 samples,<\/p>\n

each containing three radial tires, were chosen from different shifts over several days of<\/p>\n

operation, with the following results. Assuming that these data were collected when the<\/p>\n

\u00a0<\/p>\n

manufacturing process was believed to be operating in control, develop the R and ? charts.<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>An automotive industry supplier produces pistons for several models of automobiles.<\/p>\n

\u00a0<\/p>\n

Twenty samples, each consisting of 200 pistons, were selected when the process was<\/p>\n

known to be operating correctly. The numbers of defective pistons found in the samples<\/p>\n

\u00a0<\/p>\n

follow.<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”>A quality control process monitors the weight per carton of laundry detergent.<\/p>\n

\u00a0<\/p>\n

Control limits are set at UCL = 20.12 ounces and LCL = 19.90 ounces. Samples of size 5 are used for the<\/p>\n

sampling and inspection process. What are the process mean and process standard<\/p>\n

\u00a0<\/p>\n

<pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=”” style=”font-family: Verdana, arial, sans-serif; line-height: normal;”><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><pstyle=”language:en-us;margin-top:0pt;margin-bottom:0pt;margin-left:0in; text-indent:0in”=””><\/p>\n

deviation for the manufacturing operation?<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Carpetland salespersons average $8,000 per week in sales. Steve Contois, the firm’s vice president, proposes a compensation plan with new selling incentives. Steve hopes that the results of a trial selling period will enable him to conclude that the compensation plan increases the average sales per salesperson. \u00a0 A.Develop the appropriate null and alternative hypotheses. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[],"class_list":["post-7578","post","type-post","status-publish","format-standard","hentry","category-homework-help"],"_links":{"self":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/7578","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/comments?post=7578"}],"version-history":[{"count":0,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/posts\/7578\/revisions"}],"wp:attachment":[{"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/media?parent=7578"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/categories?post=7578"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/assignmenttutors.net\/blog\/wp-json\/wp\/v2\/tags?post=7578"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}