Description
Demonstrate, using a counter example, that the product of a pair of isometries A and B is not always commutative (i.e., AB does not always equal BA).
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
Review
Review
Anonymous
Just the thing I needed, saved me a lot of time.
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.Ins ...
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.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 jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.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.Here is the Worksheet. I opened in case you couldn't download it.1 Worksheet
Introduce your scenario and data set.
Provide a brief overview of the scenario you are given and describe the data set.
Describe how you will be analyzing the data set.
Classify the variables in your data set.
Which variables are quantitative/qualitative?
If it is a quantitative variable, is it discrete or continuous?
Describe the level of measurement for each variable included in the data set (nominal, ordinal, interval, ratio).
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Center.
Name and describe each measure of center.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Variation.
Name and describe each measure of variation.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Calculate the measures of center and measures of variation from the data set and list them below. Be sure to include (a) an interpretation of each measure in context of the scenario (for example, if the median is larger than the mean, what does it mean? What does the value of standard deviation tell you?) and (b) correct units of measurement. Show your calculations in your spreadsheet. You do not need to include Excel functions in your written answer below.
Mean
Median
Mode
Midrange
Range
Variance
Standard deviation
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
92 pages
Bsic Algebra
1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole ...
Bsic Algebra
1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole number. Which of the following numbers is completely divisible by this number?
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zill ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zillow.com, realtor.com, ect. I need to create an excel spreadsheet with a price range for example $100K to $500K with my dependent variable= Price of the home and Independent variable= SQFT, number of bedrooms, number of bathrooms, and age.
Purpose Statement and Model
1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model:
“The dependent variable _Price of the home__ is determined by variables _SQFT__, _number of bathrooms__, _number of bedrooms__, and _age__.”
2) In the second paragraph, identify the primary independent variable and defend why it is important.
“The most important variable in this analysis is ________ because _________.” In this paragraph, cite and discuss the two research sources that support the thesis, i.e., the model.
3) Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance:
Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3
For instance, a typical model would be written:
Price_of_Home = Square_Footage + Number_Bedrooms + Lot_Size
Where
Price_of_Home: brief definition of dependent variable
Square_Footage: brief definition of first independent variable
Number_Bedrooms: brief definition of second independent variable
Age: brief definition of third independent variable
Definition of Variables
4) Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc.
In each paragraph, the following should be addressed:
How is the variable defined in the data source?
Which unit of measurement is used?
For the independent variables: why does the variable determine Y?
What sign is expected for the independent variable's coefficient, positive or negative? Why?
Data Description
5) In one paragraph, describe the data and identify the data sources.
From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)
Which year or years were the data collected?
Are there any data limitations?
Presentation and Interpretation of Results
6) Write the regression (prediction) equation:
Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3* Ind_Var_3
7) Identify and interpret the adjusted R2 (one paragraph):
Define “adjusted R2.”
What does the value of the adjusted R2 reveal about the model?
If the adjusted R2 is low, how has the choice of independent variables created this result?
8) Identify and interpret the F test (one paragraph):
Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?
Interpret the implications of these findings for the model.
9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):
Are the signs of the coefficients as expected? If not, why not?
For each of the coefficients, interpret the numerical value.
Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?
Interpret the implications of these findings for the variable.
Identify the variable with the greatest significance.
10) Analyze multicollinearity of the independent variables (one paragraph):
Generate the correlation matrix.
Define multicollinearity.
Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
State the implications of multicollinearity (if found) for the model.
6 pages
202007112339471205 A4
(3 points per question except for the last question that has 9 points) Q1. NB Campers Inc. manufacturers small camper trai ...
202007112339471205 A4
(3 points per question except for the last question that has 9 points) Q1. NB Campers Inc. manufacturers small camper trailers. John Dunphy, president ...
50 pages
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to dete ...
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to determine their blood types. The ...
3 pages
Discussion Statistical Significance And Meaningfulness
Usually, statistical significance does not imply meaningfulness of the results to the area of study. Statistical significa ...
Discussion Statistical Significance And Meaningfulness
Usually, statistical significance does not imply meaningfulness of the results to the area of study. Statistical significance merely reflects the ...
Similar Content
Statistics Question
need help with online Homework in a computer subject INSS 220 ...
I need help with a statistic power point presentation
Please see the files attached and help me make the necessary corrections. Please send you corrections in a power point pre...
same question almost i think
Find S12 for the series 1 + 1.5 + 2.25 + 3.375Find S5 for the series -2 + -10 + -50 + -250 Find S9 for...
please solve and chck this eqation
6x-15=3x+9...
Finding the standard deviation
The standard deviation for the sample consisting of 3, 52, and 21 is?...
MATH 1151 ACCHS Continuous Function Odd Functions & Derivatives Exam Practice
Math 1151 Midterm 3 Makeup
October 20, 2020
Name:
OSU name.#:
Page 1 of 6
Lecturer:
Recitation Instructor:
Recitat...
Mathematics Questions
The sin of an angle is equal to the ratio of the height of the dock to the distance from the...
Ip
The feasible region of the IP relaxation (bounded by the red dashed edges) is the maximal convex polygon with integer vert...
Answers Statsscan
A) Price of a car in thousands of dollars. A quantitative variable is one that is numerical or in number form...
Related Tags
Book Guides
The Silent Patient
by Alex Michaelides
Fences
by August Wilson
The President is Missing
by James Patterson, Bill Clinton
Pride and Prejudice
by Jane Austen
The Eyes Were Watching God
by Zora Neale Hurston
Orphan Train
by Christina Baker Kline
Homo Deus
by Yuval Noah Harari
Twelve Years A Slave
by Solomon Northrup
One Flew Over the Cuckoos Nest
by Ken Kesey
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.Ins ...
Inferential Statistics & Analytics Descriptive Statistics Analysis Paper
CompetencyExamine basic descriptive statistics, and demonstrate results using calculated values and statistical charts.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 jobThe client needs the preliminary findings by the end of the day, and your boss asks you to first compute some basic statistics.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.Here is the Worksheet. I opened in case you couldn't download it.1 Worksheet
Introduce your scenario and data set.
Provide a brief overview of the scenario you are given and describe the data set.
Describe how you will be analyzing the data set.
Classify the variables in your data set.
Which variables are quantitative/qualitative?
If it is a quantitative variable, is it discrete or continuous?
Describe the level of measurement for each variable included in the data set (nominal, ordinal, interval, ratio).
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Center.
Name and describe each measure of center.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Discuss the importance of the Measures of Variation.
Name and describe each measure of variation.
Discuss the advantages and/or disadvantages of each.
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
Calculate the measures of center and measures of variation from the data set and list them below. Be sure to include (a) an interpretation of each measure in context of the scenario (for example, if the median is larger than the mean, what does it mean? What does the value of standard deviation tell you?) and (b) correct units of measurement. Show your calculations in your spreadsheet. You do not need to include Excel functions in your written answer below.
Mean
Median
Mode
Midrange
Range
Variance
Standard deviation
Answer and Explanation: Enter your step-by-step answer and explanations here.Enter your step-by-step answer and explanations here.
92 pages
Bsic Algebra
1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole ...
Bsic Algebra
1. Which one of the following is not a prime number?2. It is being given that (232 + 1) is completely divisible by a whole number. Which of the following numbers is completely divisible by this number?
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zill ...
MG 315 PU Unit 8 Statistics Regression Analysis Project Report
select any city in the US and select 40-45 houses that are for sale in that city. Any website can be used for example zillow.com, realtor.com, ect. I need to create an excel spreadsheet with a price range for example $100K to $500K with my dependent variable= Price of the home and Independent variable= SQFT, number of bedrooms, number of bathrooms, and age.
Purpose Statement and Model
1) In the introductory paragraph, state why the dependent variable has been chosen for analysis. Then make a general statement about the model:
“The dependent variable _Price of the home__ is determined by variables _SQFT__, _number of bathrooms__, _number of bedrooms__, and _age__.”
2) In the second paragraph, identify the primary independent variable and defend why it is important.
“The most important variable in this analysis is ________ because _________.” In this paragraph, cite and discuss the two research sources that support the thesis, i.e., the model.
3) Write the general form of the regression model (less intercept and coefficients), with the variables named appropriately so reader can identify each variable at a glance:
Dep_Var = Ind_Var_1 + Ind_Var_2 + Ind_Var_3
For instance, a typical model would be written:
Price_of_Home = Square_Footage + Number_Bedrooms + Lot_Size
Where
Price_of_Home: brief definition of dependent variable
Square_Footage: brief definition of first independent variable
Number_Bedrooms: brief definition of second independent variable
Age: brief definition of third independent variable
Definition of Variables
4) Define and defend all variables, including the dependent variable, in a single paragraph for each variable. Also, state the expectations for each independent variable. These paragraphs should be in numerical order, i.e., dependent variable, X1, then X2, etc.
In each paragraph, the following should be addressed:
How is the variable defined in the data source?
Which unit of measurement is used?
For the independent variables: why does the variable determine Y?
What sign is expected for the independent variable's coefficient, positive or negative? Why?
Data Description
5) In one paragraph, describe the data and identify the data sources.
From which general sources and from which specific tables are the data taken? (Citing a website is not acceptable.)
Which year or years were the data collected?
Are there any data limitations?
Presentation and Interpretation of Results
6) Write the regression (prediction) equation:
Dep_Var = Intercept + c1 * Ind_Var_1 + c2 * Ind_Var_2 + c3* Ind_Var_3
7) Identify and interpret the adjusted R2 (one paragraph):
Define “adjusted R2.”
What does the value of the adjusted R2 reveal about the model?
If the adjusted R2 is low, how has the choice of independent variables created this result?
8) Identify and interpret the F test (one paragraph):
Using the p-value approach, is the null hypothesis for the F test rejected or not rejected? Why or why not?
Interpret the implications of these findings for the model.
9) Identify and interpret the t tests for each of the coefficients (one separate paragraph for each variable, in numerical order):
Are the signs of the coefficients as expected? If not, why not?
For each of the coefficients, interpret the numerical value.
Using the p-value approach, is the null hypothesis for the t test rejected or not rejected for each coefficient? Why or why not?
Interpret the implications of these findings for the variable.
Identify the variable with the greatest significance.
10) Analyze multicollinearity of the independent variables (one paragraph):
Generate the correlation matrix.
Define multicollinearity.
Are any of the independent variables highly correlated with each other? If so, identify the variables and explain why they are correlated.
State the implications of multicollinearity (if found) for the model.
6 pages
202007112339471205 A4
(3 points per question except for the last question that has 9 points) Q1. NB Campers Inc. manufacturers small camper trai ...
202007112339471205 A4
(3 points per question except for the last question that has 9 points) Q1. NB Campers Inc. manufacturers small camper trailers. John Dunphy, president ...
50 pages
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to dete ...
20200806214710stats Answers Final
The National Institute of Health randomly selected 520 individuals who gave blood during the month of May in order to determine their blood types. The ...
3 pages
Discussion Statistical Significance And Meaningfulness
Usually, statistical significance does not imply meaningfulness of the results to the area of study. Statistical significa ...
Discussion Statistical Significance And Meaningfulness
Usually, statistical significance does not imply meaningfulness of the results to the area of study. Statistical significance merely reflects the ...
Earn money selling
your Study Documents