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A ball is thrown from a height of
feet with an initial downward velocity of . The ball's height (in feet) after seconds is given by the following.How long after the ball is thrown does it hit the ground? Round your answer(s) to the nearest hundredth
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Apply MANOVA and Prepare a Course Reflection
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Part A ...
Apply MANOVA and Prepare a Course Reflection
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Part A. SPSS AssignmentIn this exercise, you are playing the role of a researcher that is testing new medication designed to improve cholesterol levels. When examining cholesterol in clinical settings, we look at two numbers: low-density lipoprotein (LDL) and high-density lipoprotein (HDL). You may have heard these called “good” (HDL) and “bad” (LDL) cholesterol. For LDL, lower numbers are better (below 100 is considered optimal). For HDL, 60 or higher is optimal.In this experiment, you will be testing three different versions of the new medication. In data file “Activity 8.sav” you will find the following variables: group (0=control, 1=Drug A, 2=Drug B, 3=Drug C), LDL, and HDL (cholesterol numbers of participants after 12 weeks).Using a MANOVA, try to ascertain which version of the drug (A, B or C) shows the most promise. Perform the following analyses and paste the SPSS output into your Word document.
Exploratory Data Analysis.
Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.
Compose a one to two paragraph write up of the data.
Create an APA style table that presents descriptive statistics for the sample.
Perform a MANOVA. Using the “Activity 8.sav” data set, perform a MANOVA. “Group” is your fixed factor and LDL and HDL are your dependent variables. Be sure to include simple contrasts to distinguish between the drugs (group variable). In the same analysis, include descriptive statistics and parameter estimates. Finally, be certain to inform SPSS that you want a post-hoc test to help you determine which drug works best.
Is there any statistically significant difference in how the drugs perform? If so, explain the effect. Use the post hoc tests as needed.
Write up the results using APA style and interpret them.
Part B. ReflectionReflect on your experience throughout the course and how you will use your new statistical skill set in the dissertation phase of your degree program. Include a brief assessment of what you have learned. In 2-3 paragraphs, cover the following:
What were the three most important concepts you learned?
How will the material in this course help you in your dissertation work?
What would you like to have seen covered that wasn’t or what would you have liked more practice with?
Your submittal should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Where applicable your submittal should reflect scholarly writing and current APA standards
Linking Strategy to HRM Practices
Read the table on pages 317 and 318 “Examples of Transformational Events Associated with HR Process” from your textboo ...
Linking Strategy to HRM Practices
Read the table on pages 317 and 318 “Examples of Transformational Events Associated with HR Process” from your textbook. Create a similar table, with at least 3 levels, using specific details on the organization you are researching for the Capstone project. Offer a 200-250 word explanation on the decisions you have made on the table. Use at least one scholarly source other than the textbook to support your ideas. Chunt 2014 commonsense talent Mangement
R Studio Managerial Report Real State Sales Research Paper
Prepare a managerial report, starting with an executive summary; expected length up to 3-4 pages APA format, excluding cov ...
R Studio Managerial Report Real State Sales Research Paper
Prepare a managerial report, starting with an executive summary; expected length up to 3-4 pages APA format, excluding cover page, table of content, and appendixes.Provide several descriptive statistics for real estate sales in your neighborhood. Include:The total number of sales in your neighborhood since 2009The mean sale price and gross square footage for residential properties in your neighborhood since 2009A five-number summary for both sale price and gross square footage for residential properties in your neighborhood since 2009The proportion of sales of residential, commercial, mixed, and other properties in your neighborhood since 2009The standard deviation of sale prices for residential properties in your neighborhood since 2009The correlation between sale price and gross square feet for residential properties in your neighborhood since 2009Perform k-means clustering, comparing your neighborhood to other neighborhoods. Choose at least 3 of the following KPI’sMedian Sale Price for residential properties since 2009Number of sales for residential properties since 2009Standard deviation of sales of residential properties since 2009Proportion of residential sales since 2009Price of 1 gross square foot of residential real estate since 2009Choose one other neighborhood, and test the hypothesis that, starting in 2009, the average residential property costs more, less, or a different amount in your neighborhood (Note: this requires a t-test.)Write 3-4 pages summarizing your findings with a focus on the output, interpretation of the output, and what the insights mean for our decision-making process.I'll give the data after accepting the order.
4 pages
Sampling Distribution
A computer scanner can read a bar code on a package correctly 97% of the time. One company monitors the accuracy of the sc ...
Sampling Distribution
A computer scanner can read a bar code on a package correctly 97% of the time. One company monitors the accuracy of the scanner by randomly sampling ...
What is the LCD of the denominators in the equation shown below?, homework help
What is the LCD of the denominators in the equation shown below?A. 3B. 5C. 15D. 225
What is the LCD of the denominators in the equation shown below?, homework help
What is the LCD of the denominators in the equation shown below?A. 3B. 5C. 15D. 225
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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Apply MANOVA and Prepare a Course Reflection
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Part A ...
Apply MANOVA and Prepare a Course Reflection
You will submit one Word document. You will create this Word document by cutting and pasting SPSS output into Word. Part A. SPSS AssignmentIn this exercise, you are playing the role of a researcher that is testing new medication designed to improve cholesterol levels. When examining cholesterol in clinical settings, we look at two numbers: low-density lipoprotein (LDL) and high-density lipoprotein (HDL). You may have heard these called “good” (HDL) and “bad” (LDL) cholesterol. For LDL, lower numbers are better (below 100 is considered optimal). For HDL, 60 or higher is optimal.In this experiment, you will be testing three different versions of the new medication. In data file “Activity 8.sav” you will find the following variables: group (0=control, 1=Drug A, 2=Drug B, 3=Drug C), LDL, and HDL (cholesterol numbers of participants after 12 weeks).Using a MANOVA, try to ascertain which version of the drug (A, B or C) shows the most promise. Perform the following analyses and paste the SPSS output into your Word document.
Exploratory Data Analysis.
Perform exploratory data analysis on the relevant variables in the dataset. When possible, include appropriate graphs to help illustrate the dataset.
Compose a one to two paragraph write up of the data.
Create an APA style table that presents descriptive statistics for the sample.
Perform a MANOVA. Using the “Activity 8.sav” data set, perform a MANOVA. “Group” is your fixed factor and LDL and HDL are your dependent variables. Be sure to include simple contrasts to distinguish between the drugs (group variable). In the same analysis, include descriptive statistics and parameter estimates. Finally, be certain to inform SPSS that you want a post-hoc test to help you determine which drug works best.
Is there any statistically significant difference in how the drugs perform? If so, explain the effect. Use the post hoc tests as needed.
Write up the results using APA style and interpret them.
Part B. ReflectionReflect on your experience throughout the course and how you will use your new statistical skill set in the dissertation phase of your degree program. Include a brief assessment of what you have learned. In 2-3 paragraphs, cover the following:
What were the three most important concepts you learned?
How will the material in this course help you in your dissertation work?
What would you like to have seen covered that wasn’t or what would you have liked more practice with?
Your submittal should demonstrate thoughtful consideration of the ideas and concepts that are presented in the course and provide new thoughts and insights relating directly to this topic. Where applicable your submittal should reflect scholarly writing and current APA standards
Linking Strategy to HRM Practices
Read the table on pages 317 and 318 “Examples of Transformational Events Associated with HR Process” from your textboo ...
Linking Strategy to HRM Practices
Read the table on pages 317 and 318 “Examples of Transformational Events Associated with HR Process” from your textbook. Create a similar table, with at least 3 levels, using specific details on the organization you are researching for the Capstone project. Offer a 200-250 word explanation on the decisions you have made on the table. Use at least one scholarly source other than the textbook to support your ideas. Chunt 2014 commonsense talent Mangement
R Studio Managerial Report Real State Sales Research Paper
Prepare a managerial report, starting with an executive summary; expected length up to 3-4 pages APA format, excluding cov ...
R Studio Managerial Report Real State Sales Research Paper
Prepare a managerial report, starting with an executive summary; expected length up to 3-4 pages APA format, excluding cover page, table of content, and appendixes.Provide several descriptive statistics for real estate sales in your neighborhood. Include:The total number of sales in your neighborhood since 2009The mean sale price and gross square footage for residential properties in your neighborhood since 2009A five-number summary for both sale price and gross square footage for residential properties in your neighborhood since 2009The proportion of sales of residential, commercial, mixed, and other properties in your neighborhood since 2009The standard deviation of sale prices for residential properties in your neighborhood since 2009The correlation between sale price and gross square feet for residential properties in your neighborhood since 2009Perform k-means clustering, comparing your neighborhood to other neighborhoods. Choose at least 3 of the following KPI’sMedian Sale Price for residential properties since 2009Number of sales for residential properties since 2009Standard deviation of sales of residential properties since 2009Proportion of residential sales since 2009Price of 1 gross square foot of residential real estate since 2009Choose one other neighborhood, and test the hypothesis that, starting in 2009, the average residential property costs more, less, or a different amount in your neighborhood (Note: this requires a t-test.)Write 3-4 pages summarizing your findings with a focus on the output, interpretation of the output, and what the insights mean for our decision-making process.I'll give the data after accepting the order.
4 pages
Sampling Distribution
A computer scanner can read a bar code on a package correctly 97% of the time. One company monitors the accuracy of the sc ...
Sampling Distribution
A computer scanner can read a bar code on a package correctly 97% of the time. One company monitors the accuracy of the scanner by randomly sampling ...
What is the LCD of the denominators in the equation shown below?, homework help
What is the LCD of the denominators in the equation shown below?A. 3B. 5C. 15D. 225
What is the LCD of the denominators in the equation shown below?, homework help
What is the LCD of the denominators in the equation shown below?A. 3B. 5C. 15D. 225
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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