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Stat 200 Week 7 Homework Problems
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital ...
Stat 200 Week 7 Homework Problems
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Create ...
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in ...
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary
distributions of jobs in the state of Minnesota that range from $30,000
to $200,000 per year. As a Business Analyst, your boss asks you to
research and analyze the salary distributions. You are given a spreadsheet that contains the following information:
A listing of the jobs by title
The salary (in dollars) for each job
In prior engagements, you have already explained to your client about
the basic statistics and discussed the importance of constructing
confidence intervals for the population mean. Your client says that he
remembers a little bit about hypothesis testing, but he is a little
fuzzy. He asks you to give him the full explanation of all steps in a
hypothesis testing and wants your conclusion about a claim that the
average salary for all jobs in the state of Minnesota is less than
$75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you
will be analyzing from the Bureau of Labor Statistics. The data set
contains a listing of several jobs titles with yearly salaries ranging
from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed
calculations. Your research and analysis should be present within the
answers provided on the worksheet.
MTH 216T UOP Wk 5 Quantitative Reasoning Probability Utilized Daily Discussion
MTH/216T: Quantitative Reasoning IiundefinedWk 5 Discussion - Probability undefinedRespond to each student using 40-50 wor ...
MTH 216T UOP Wk 5 Quantitative Reasoning Probability Utilized Daily Discussion
MTH/216T: Quantitative Reasoning IiundefinedWk 5 Discussion - Probability undefinedRespond to each student using 40-50 words
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1. ...
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1.
Chapter 16 Case Study
(Foot Locker), pages 618-619. (Start with “Supposing Foot Locker”) Hint: Use
the chi-square test of independence formula on page 610 to compute by hand or
go to: http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html (Links
to an external site.)Foot Locker in the Shoe MixFoot Locker, Inc., is the world's number one
retailer of athletic footwear and apparel. Headquartered in New York City, the
company has over 44,000 employees and 3369 retail stores in 23 countries across
North America, Europe, Australia, and New Zealand operating under such brand
names as Foot Locker, Lady Foot Locker, Kids Foot Locker, Footaction, Champs
Sports, and CCS. Foot Locker estimates that it controls about 18% of the U.S.
$15 billion athletic footwear market. The company intends to increase its share
of the worldwide market by adding additional stores and by growing its Internet
and catalog business.
In recent years, Foot Locker officials have
been rethinking the company's retail mix. Determining the shoe mix that will maximize
profits is an important decision for Foot Locker. By the year 2002, in an
effort to stock more lower-priced footwear, the company had reduced its
inventory of sneakers priced at $120 or more by 50%.
DISCUSSION
Suppose the data
presented below represented the number of unit sales (million $) for athletic
footwear in the years 2000 and 2012. Use techniques presented in this chapter
to analyze these data and discuss the business implications for Foot Locker.
Price Category
2000
2012
Less than $30
115
126
$30-less than
$40
38
40
$40-less than
$50
37
35
$50-less than
$60
30
27
$60-less than
$70
22
20
$70-less than
$85
21
20
$85-less than
$100
11
11
$100 or more
17
18
Suppose Foot Locker
strongly encourages its employees to make formal suggestions to improve the
store, the product, and the working environment. Suppose a quality auditor
keeps records of the suggestions, the persons who submitted them, and the
geographic region from which they come. A possible breakdown of the number of
suggestions over a 3-year period by employee sex and geographic location
follows. Is there any relationship between the sex of the employee and the
geographic location in terms of number of suggestions? If they are related,
what does this relationship mean to the company? What business implications
might there be for such an analysis?
Sex
Male
Female
U.S. West
29
43
U.S. South
48
20
Location
U.S. East
52
61
U.S. North
28
25
Europe
78
32
Australia
47
29
3.
16.1
The Financial
database contains seven different types of companies. These seven are denoted
by the variable Type. Use a chi-square goodness-of-fit test to determine
whether the seven types of companies are uniformly distributed in this
database.
4.
16.2
In the Manufacturing
database, is the Value of Industrial Shipments (a four-category variable)
uniformly distributed across the database?
5.
16.3
Use a chi-square
test of independence to determine whether Control is independent of Service
in the Hospital database. Comment on the results of this test.
6.
16.4
In the Consumer
database, is Location independent of Region? Use a chi-square test of
independence to answer the question.
2.
Click this link
http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html
Input '6' for number of rows and '2' for number of columns,
click 'submit', then you will see a new page with blank cells, type the data in
the given problem into those cells, then click 'Calculate now' to see the
results.
Interpret the
results.
For supplemental file, click on the following link: BUS6780_M5HomeworkAssignment
#2.docx
3.
Chapter 12 Case
Study (Caterpillar), pages 471-472, question 1 only. Use an alpha of
.05. You need to submit your supporting formula work or work in
Excel.
The United States Department of Agriculture
(USDA), in conjunction with the Forest Service, publishes information to assist
companies in estimating the cost of building a temporary road for such
activities as a timber sale. Such roads are generally built for one or two
seasons of use for limited traffic and are designed with the goal of
reestablishing vegetative cover on the roadway and adjacent disturbed area
within ten years after the termination of the contract, permit, or lease. The
timber sale contract requires out sloping, removal of culverts and ditches, and
building water bars or cross ditches after the road is no longer needed. As
part of this estimation process, the company needs to estimate haul costs. The
USDA publishes variable costs in dollars per cubic-yard-mile of hauling dirt
according to the speed with which the vehicle can drive. Speeds are mainly
determined by the road width, the sight distance, the grade, the curves and the
turnouts. Thus, on a steep, narrow, winding road, the speed is slow; and on a
flat, straight, wide road, the speed is faster. Shown below are data on speed,
cost per cubic yard for a 12 cubic yard end-dump vehicle, and cost per cubic
yard for a 20 cubic yard bottom-dump vehicle. Use these data and simple
regression analysis to develop models for predicting the haul cost by speed for
each of these two vehicles. Discuss the strength of the models. Based on the
models, predict the haul cost for 35 mph and for 45 mph for each of these
vehicles.
SPEED (MPH)
HAUL COST
12-CUBIC-YARD END-DUMP VEHICLE $ PER CUBIC YD.
HAUL COST
20-CUBIC-YARD BOTTOM-DUMP VEHICLE $ PER CUBIC YD.
10
$2.46
$1.98
15
$1.64
$1.31
20
$1.24
$0.98
25
$0.98
$0.77
30
$0.82
$0.65
40
$0.62
$0.47
50
$0.48
$0.40
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Most Popular Content
17 pages
Stat 200 Week 7 Homework Problems
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital ...
Stat 200 Week 7 Homework Problems
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Create ...
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in ...
Rasmussen University Inferential Statistics and Analytics Worksheet
InstructionsScenario (Information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary
distributions of jobs in the state of Minnesota that range from $30,000
to $200,000 per year. As a Business Analyst, your boss asks you to
research and analyze the salary distributions. You are given a spreadsheet that contains the following information:
A listing of the jobs by title
The salary (in dollars) for each job
In prior engagements, you have already explained to your client about
the basic statistics and discussed the importance of constructing
confidence intervals for the population mean. Your client says that he
remembers a little bit about hypothesis testing, but he is a little
fuzzy. He asks you to give him the full explanation of all steps in a
hypothesis testing and wants your conclusion about a claim that the
average salary for all jobs in the state of Minnesota is less than
$75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you
will be analyzing from the Bureau of Labor Statistics. The data set
contains a listing of several jobs titles with yearly salaries ranging
from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed
calculations. Your research and analysis should be present within the
answers provided on the worksheet.
MTH 216T UOP Wk 5 Quantitative Reasoning Probability Utilized Daily Discussion
MTH/216T: Quantitative Reasoning IiundefinedWk 5 Discussion - Probability undefinedRespond to each student using 40-50 wor ...
MTH 216T UOP Wk 5 Quantitative Reasoning Probability Utilized Daily Discussion
MTH/216T: Quantitative Reasoning IiundefinedWk 5 Discussion - Probability undefinedRespond to each student using 40-50 words
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1. ...
chi square and correlation regression
Hi - will you be able to answer the 3 questions below by Thursday night?i also uploaded the same info in a word doc.1.
Chapter 16 Case Study
(Foot Locker), pages 618-619. (Start with “Supposing Foot Locker”) Hint: Use
the chi-square test of independence formula on page 610 to compute by hand or
go to: http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html (Links
to an external site.)Foot Locker in the Shoe MixFoot Locker, Inc., is the world's number one
retailer of athletic footwear and apparel. Headquartered in New York City, the
company has over 44,000 employees and 3369 retail stores in 23 countries across
North America, Europe, Australia, and New Zealand operating under such brand
names as Foot Locker, Lady Foot Locker, Kids Foot Locker, Footaction, Champs
Sports, and CCS. Foot Locker estimates that it controls about 18% of the U.S.
$15 billion athletic footwear market. The company intends to increase its share
of the worldwide market by adding additional stores and by growing its Internet
and catalog business.
In recent years, Foot Locker officials have
been rethinking the company's retail mix. Determining the shoe mix that will maximize
profits is an important decision for Foot Locker. By the year 2002, in an
effort to stock more lower-priced footwear, the company had reduced its
inventory of sneakers priced at $120 or more by 50%.
DISCUSSION
Suppose the data
presented below represented the number of unit sales (million $) for athletic
footwear in the years 2000 and 2012. Use techniques presented in this chapter
to analyze these data and discuss the business implications for Foot Locker.
Price Category
2000
2012
Less than $30
115
126
$30-less than
$40
38
40
$40-less than
$50
37
35
$50-less than
$60
30
27
$60-less than
$70
22
20
$70-less than
$85
21
20
$85-less than
$100
11
11
$100 or more
17
18
Suppose Foot Locker
strongly encourages its employees to make formal suggestions to improve the
store, the product, and the working environment. Suppose a quality auditor
keeps records of the suggestions, the persons who submitted them, and the
geographic region from which they come. A possible breakdown of the number of
suggestions over a 3-year period by employee sex and geographic location
follows. Is there any relationship between the sex of the employee and the
geographic location in terms of number of suggestions? If they are related,
what does this relationship mean to the company? What business implications
might there be for such an analysis?
Sex
Male
Female
U.S. West
29
43
U.S. South
48
20
Location
U.S. East
52
61
U.S. North
28
25
Europe
78
32
Australia
47
29
3.
16.1
The Financial
database contains seven different types of companies. These seven are denoted
by the variable Type. Use a chi-square goodness-of-fit test to determine
whether the seven types of companies are uniformly distributed in this
database.
4.
16.2
In the Manufacturing
database, is the Value of Industrial Shipments (a four-category variable)
uniformly distributed across the database?
5.
16.3
Use a chi-square
test of independence to determine whether Control is independent of Service
in the Hospital database. Comment on the results of this test.
6.
16.4
In the Consumer
database, is Location independent of Region? Use a chi-square test of
independence to answer the question.
2.
Click this link
http://www.physics.csbsju.edu/stats/contingency_NROW_NCOLUMN_form.html
Input '6' for number of rows and '2' for number of columns,
click 'submit', then you will see a new page with blank cells, type the data in
the given problem into those cells, then click 'Calculate now' to see the
results.
Interpret the
results.
For supplemental file, click on the following link: BUS6780_M5HomeworkAssignment
#2.docx
3.
Chapter 12 Case
Study (Caterpillar), pages 471-472, question 1 only. Use an alpha of
.05. You need to submit your supporting formula work or work in
Excel.
The United States Department of Agriculture
(USDA), in conjunction with the Forest Service, publishes information to assist
companies in estimating the cost of building a temporary road for such
activities as a timber sale. Such roads are generally built for one or two
seasons of use for limited traffic and are designed with the goal of
reestablishing vegetative cover on the roadway and adjacent disturbed area
within ten years after the termination of the contract, permit, or lease. The
timber sale contract requires out sloping, removal of culverts and ditches, and
building water bars or cross ditches after the road is no longer needed. As
part of this estimation process, the company needs to estimate haul costs. The
USDA publishes variable costs in dollars per cubic-yard-mile of hauling dirt
according to the speed with which the vehicle can drive. Speeds are mainly
determined by the road width, the sight distance, the grade, the curves and the
turnouts. Thus, on a steep, narrow, winding road, the speed is slow; and on a
flat, straight, wide road, the speed is faster. Shown below are data on speed,
cost per cubic yard for a 12 cubic yard end-dump vehicle, and cost per cubic
yard for a 20 cubic yard bottom-dump vehicle. Use these data and simple
regression analysis to develop models for predicting the haul cost by speed for
each of these two vehicles. Discuss the strength of the models. Based on the
models, predict the haul cost for 35 mph and for 45 mph for each of these
vehicles.
SPEED (MPH)
HAUL COST
12-CUBIC-YARD END-DUMP VEHICLE $ PER CUBIC YD.
HAUL COST
20-CUBIC-YARD BOTTOM-DUMP VEHICLE $ PER CUBIC YD.
10
$2.46
$1.98
15
$1.64
$1.31
20
$1.24
$0.98
25
$0.98
$0.77
30
$0.82
$0.65
40
$0.62
$0.47
50
$0.48
$0.40
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