Description
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
D) ................................;;
Good luck and please best
Completion Status:
100%
Review
Review
Anonymous
Great! 10/10 would recommend using Studypool to help you study.
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
Multiple Regression Model Typical Composition of Neurons in A Net Question
Questions:
Figure 1 shows a typical composition of neurons in a net. This discussion questions aimed at learning how natur ...
Multiple Regression Model Typical Composition of Neurons in A Net Question
Questions:
Figure 1 shows a typical composition of neurons in a net. This discussion questions aimed at learning how natural composition of neural nets can be mimicked to derive algorithms that can provide prediction at higher levels of complexity.
Consider a multiple regression model of your choice containing two predictors. Calculate the values of the regression equation with a range chosen by you for the values of the predictors. Provide the graph of the regression equation which is a plane.
Augment your regression model by a sigmoid posterior filter. Calculate the values of the regression equation within the range chosen in part 1. Provide the graph of the regression equation, which will be a sigmoidal surface. Show that this graph cannot have a local extremum.
Now, add another regression model with sigmoid posterior containing the same two predictors in the previous part. Repeat parts 1 and 2 for this new regression model.
Now consider a model of a neural net, which has two parallel hidden layers, which are the two regression models considered above. The output of the net is simply the superposition of the two regression models. Show that by proper choice of the parameters you can have an output, which has a local extremum within the choice for the range of the values of the predictor. Provide the graph of the regression equation.
How does this observation indicate an application of neural networks modeling in practice?
Figure 1
Typical Composition of Neurons in a Net
Bowerman, B., Drougas, A. M., Duckworth, A. G., Hummel, R. M. Moniger, K. B., & Schur, P. J. (2019). Business statistics and analytics in practice (9th ed.). McGraw-Hill
ISBN 9781260187496
MTH 154 Germanna Community College Grade Count by Category Worksheet
In this project you will create a spreadsheet which keeps track of your grade in this Math 154 class. Attached here are th ...
MTH 154 Germanna Community College Grade Count by Category Worksheet
In this project you will create a spreadsheet which keeps track of your grade in this Math 154 class. Attached here are the directions and grade book to compute from. Please follow directions and refer to Sample Grade book also attached. Thankyou 😎! **Note, Student reflection section will be done via third party, please do the spreadsheet only.Running Tally :GroupWeightHomework10%Quizzes10%Activities15%Projects15%Exams50%Critical Assignments0%Imported Assignments0%Total100%
SNHU Hypothesis Testing for Regional Real Estate Company Case Study
Scenario
You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company ...
SNHU Hypothesis Testing for Regional Real Estate Company Case Study
Scenario
You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.
Prompt
Design a hypothesis test and interpret the results using significance level ? = .05.
Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.
Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.
Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.
Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.
Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).
Provide a histogram of your sample.
Describe your sample by writing a sentence describing the shape, center, and spread of your sample.
Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
Determine the appropriate test statistic, then calculate the test statistic.
Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.
Calculate the p value.
Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.
Choose your test from the following:
=T.DIST.RT([test statistic], [degree of freedom])
=T.DIST([test statistic], [degree of freedom], 1)
=T.DIST.2T([test statistic], [degree of freedom])
Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.
Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.
28 pages
Examining Bivariate Pearson
A6.1, Problem 9.1 Application Problem ‐ Scatterplots to Check the Assumption of Linearity ..... 4 A6.1, Problem 9.1 Appl ...
Examining Bivariate Pearson
A6.1, Problem 9.1 Application Problem ‐ Scatterplots to Check the Assumption of Linearity ..... 4 A6.1, Problem 9.1 Application Problem ‐ ...
Statistical Concepts for Research questions, assignment help
Statistical Concepts for Research questions*** Original answer *** Label and number each question followed by answer ...
Statistical Concepts for Research questions, assignment help
Statistical Concepts for Research questions*** Original answer *** Label and number each question followed by answer and cite sources below each answer PLS!!!!!1. Paul states that he scored in the 100th percentile on a given standardized test. Do you believe him? Why or why not? 200 word minimum2. Actuaries work with statistics and probabilities each day. What do actuaries do and what tests do they take?(200 word minimum)3. Find a video that provides help with learning probability. Why do you like it and what did you learn? Visit this helpful website (http://www.khanacademy.org/) to assist you with your search. ( provide video link plus 200 word minimum)4. Find a study where the distribution follows a normal or bell-shaped
curve. An example of a normal distribution or bell-shaped curve, called
“Heights of Red Pine Seedlings”, is located in the beginning of
Chapter 6 in the book. Cite the source of the study you’ve selected, and
explain why you think the distribution is bell shaped. For instance,
if the study is about income, then the income may be low for a child
and peak at age forty-five and then gradually drop.
MTH410 Colorado State University Sample Correlation Coefficient Paper
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare ...
MTH410 Colorado State University Sample Correlation Coefficient Paper
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare among four variables:2015 Profit in millions of dollars2016 Profit in millions of dollars2015-2016 Two-Year Change in Daily Average Customer Visits Two-Year Average Number of EmployeesData collected for the sample of 200 businesses is contained in the file named Businesses, linked at the bottom of the page. Use all 200 data points.Managerial ReportPrepare a report (see Module folder) using the numerical methods of descriptive statistics presented in this module to learn how each of the variables contributes to the success of a client business. Be sure to include the following three items in your report.
Find descriptive sample statistics (mean, median, two quartiles Q1 and Q3, minimum, maximum, range, sample standard deviation, and coefficient of variation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the client businesses.
Compute the percent change in profit from 2015 to 2016 for each business. Then use the z-score to determine which businesses were outliers with respect to percent change in profit.
Compute the sample correlation coefficient, showing the relationship between percent change in profit and each of the other two variables (2015-2016 Two-Year Change in Daily Average Customer Visits and Two-Year Average Number of Employees). Explain what the correlation coefficients tell us about the three pairs of relationships. Use tables, charts, or graphs to support your conclusions. Requirements:
Paper must be written in third person.
Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.
The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.
The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.
Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
Similar Content
needs to be simplified
6 - (8-b) - 4b...
plz help!!!!!!!!!!!!!!!!!
...
add. -7/8+1/4 In simplest form
Add. In simplest form
-7/8+1/4...
Related Tags
Book Guides
Shattered - Inside Hillary Clintons Doomed Campaign
by Amie Parnes and Jonathan Allen
Crime and Punishment
by Fyodor Dostoyevsky
Jane Eyre
by Charlotte Brontë
Macbeth
by William Shakespeare
The Silent Patient
by Alex Michaelides
Sula
by Toni Morrison
Treasure Island
by Robert Louis
Team of Vipers
by Cliff Sims
A Brief History of Humankind Sapiens
by Yuval Noah Harari
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Multiple Regression Model Typical Composition of Neurons in A Net Question
Questions:
Figure 1 shows a typical composition of neurons in a net. This discussion questions aimed at learning how natur ...
Multiple Regression Model Typical Composition of Neurons in A Net Question
Questions:
Figure 1 shows a typical composition of neurons in a net. This discussion questions aimed at learning how natural composition of neural nets can be mimicked to derive algorithms that can provide prediction at higher levels of complexity.
Consider a multiple regression model of your choice containing two predictors. Calculate the values of the regression equation with a range chosen by you for the values of the predictors. Provide the graph of the regression equation which is a plane.
Augment your regression model by a sigmoid posterior filter. Calculate the values of the regression equation within the range chosen in part 1. Provide the graph of the regression equation, which will be a sigmoidal surface. Show that this graph cannot have a local extremum.
Now, add another regression model with sigmoid posterior containing the same two predictors in the previous part. Repeat parts 1 and 2 for this new regression model.
Now consider a model of a neural net, which has two parallel hidden layers, which are the two regression models considered above. The output of the net is simply the superposition of the two regression models. Show that by proper choice of the parameters you can have an output, which has a local extremum within the choice for the range of the values of the predictor. Provide the graph of the regression equation.
How does this observation indicate an application of neural networks modeling in practice?
Figure 1
Typical Composition of Neurons in a Net
Bowerman, B., Drougas, A. M., Duckworth, A. G., Hummel, R. M. Moniger, K. B., & Schur, P. J. (2019). Business statistics and analytics in practice (9th ed.). McGraw-Hill
ISBN 9781260187496
MTH 154 Germanna Community College Grade Count by Category Worksheet
In this project you will create a spreadsheet which keeps track of your grade in this Math 154 class. Attached here are th ...
MTH 154 Germanna Community College Grade Count by Category Worksheet
In this project you will create a spreadsheet which keeps track of your grade in this Math 154 class. Attached here are the directions and grade book to compute from. Please follow directions and refer to Sample Grade book also attached. Thankyou 😎! **Note, Student reflection section will be done via third party, please do the spreadsheet only.Running Tally :GroupWeightHomework10%Quizzes10%Activities15%Projects15%Exams50%Critical Assignments0%Imported Assignments0%Total100%
SNHU Hypothesis Testing for Regional Real Estate Company Case Study
Scenario
You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company ...
SNHU Hypothesis Testing for Regional Real Estate Company Case Study
Scenario
You have been hired by the Regional Real Estate Company to help them analyze real estate data. One of the company’s Pacific region salespeople just returned to the office with a newly designed advertisement. It states that the average cost per square foot of his home sales is above the average cost per square foot in the Pacific region. He wants you to make sure he can make that statement before approving the use of the advertisement. The average cost per square foot of his home sales is $275. In order to test his claim, you collect a sample of 1,001 home sales for the Pacific region.
Prompt
Design a hypothesis test and interpret the results using significance level ? = .05.
Use the House Listing Price by Region document to help support your work on this assignment. You may also use the Descriptive Statistics in Excel and Creating Histograms in Excel tutorials for support.
Specifically, you must address the following rubric criteria, using the Module Five Assignment Template.
Setup: Define your population parameter, including hypothesis statements, and specify the appropriate test.
Define your population parameter.
Write the null and alternative hypotheses. Note: Remember, the salesperson believes that his sales are higher.
Specify the name of the test you will use.
Identify whether it is a left-tailed, right-tailed, or two-tailed test.
Identify your significance level.
Data Analysis Preparations: Describe sample summary statistics, provide a histogram and summary, check assumptions, and find the test statistic and significance level.
Provide the descriptive statistics (sample size, mean, median, and standard deviation).
Provide a histogram of your sample.
Describe your sample by writing a sentence describing the shape, center, and spread of your sample.
Determine whether the conditions to perform your identified test have been met.
Calculations: Calculate the p value, describe the p value and test statistic in regard to the normal curve graph, discuss how the p value relates to the significance level, and compare the p value to the significance level to reject or fail to reject the null hypothesis.
Determine the appropriate test statistic, then calculate the test statistic.
Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean (Pacific), and the target is 275.
Calculate the p value.
Note: For right-tailed, use the T.DIST.RT function in Excel, left-tailed is the T.DIST function, and two-tailed is the T.DIST.2T function. The degree of freedom is calculated by subtracting 1 from your sample size.
Choose your test from the following:
=T.DIST.RT([test statistic], [degree of freedom])
=T.DIST([test statistic], [degree of freedom], 1)
=T.DIST.2T([test statistic], [degree of freedom])
Using the normal curve graph as a reference, describe where the p value and test statistic would be placed.
Test Decision: Discuss the relationship between the p value and the significance level, including a comparison between the two, and decide to reject or fail to reject the null hypothesis.
Discuss how the p value relates to the significance level.
Compare the p value and significance level, and make a decision to reject or fail to reject the null hypothesis.
Conclusion: Discuss how your test relates to the hypothesis and discuss the statistical significance.
Explain in one paragraph how your test decision relates to your hypothesis and whether your conclusions are statistically significant.
28 pages
Examining Bivariate Pearson
A6.1, Problem 9.1 Application Problem ‐ Scatterplots to Check the Assumption of Linearity ..... 4 A6.1, Problem 9.1 Appl ...
Examining Bivariate Pearson
A6.1, Problem 9.1 Application Problem ‐ Scatterplots to Check the Assumption of Linearity ..... 4 A6.1, Problem 9.1 Application Problem ‐ ...
Statistical Concepts for Research questions, assignment help
Statistical Concepts for Research questions*** Original answer *** Label and number each question followed by answer ...
Statistical Concepts for Research questions, assignment help
Statistical Concepts for Research questions*** Original answer *** Label and number each question followed by answer and cite sources below each answer PLS!!!!!1. Paul states that he scored in the 100th percentile on a given standardized test. Do you believe him? Why or why not? 200 word minimum2. Actuaries work with statistics and probabilities each day. What do actuaries do and what tests do they take?(200 word minimum)3. Find a video that provides help with learning probability. Why do you like it and what did you learn? Visit this helpful website (http://www.khanacademy.org/) to assist you with your search. ( provide video link plus 200 word minimum)4. Find a study where the distribution follows a normal or bell-shaped
curve. An example of a normal distribution or bell-shaped curve, called
“Heights of Red Pine Seedlings”, is located in the beginning of
Chapter 6 in the book. Cite the source of the study you’ve selected, and
explain why you think the distribution is bell shaped. For instance,
if the study is about income, then the income may be low for a child
and peak at age forty-five and then gradually drop.
MTH410 Colorado State University Sample Correlation Coefficient Paper
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare ...
MTH410 Colorado State University Sample Correlation Coefficient Paper
The research firm LL Research collected data from 200 client businesses. They want to determine how the businesses compare among four variables:2015 Profit in millions of dollars2016 Profit in millions of dollars2015-2016 Two-Year Change in Daily Average Customer Visits Two-Year Average Number of EmployeesData collected for the sample of 200 businesses is contained in the file named Businesses, linked at the bottom of the page. Use all 200 data points.Managerial ReportPrepare a report (see Module folder) using the numerical methods of descriptive statistics presented in this module to learn how each of the variables contributes to the success of a client business. Be sure to include the following three items in your report.
Find descriptive sample statistics (mean, median, two quartiles Q1 and Q3, minimum, maximum, range, sample standard deviation, and coefficient of variation) for each of the four variables along with an explanation of what the descriptive statistics tell us about the client businesses.
Compute the percent change in profit from 2015 to 2016 for each business. Then use the z-score to determine which businesses were outliers with respect to percent change in profit.
Compute the sample correlation coefficient, showing the relationship between percent change in profit and each of the other two variables (2015-2016 Two-Year Change in Daily Average Customer Visits and Two-Year Average Number of Employees). Explain what the correlation coefficients tell us about the three pairs of relationships. Use tables, charts, or graphs to support your conclusions. Requirements:
Paper must be written in third person.
Your paper should be four to five pages in length (counting the title page and references page) and cite and integrate at least one credible outside source.
Include a title page, introduction, body, conclusion, and a reference page.
The introduction should describe or summarize the topic or problem. It might discuss the importance of the topic or how it affects you or society as a whole, or it might discuss or describe the unique terminology associated with the topic.
The body of your paper should answer the questions posed in the problem. Explain how you approached and answered the question or solved the problem, and, for each question, show all steps involved. Be sure this is in paragraph format, not numbered answers like a homework assignment.
The conclusion should summarize your thoughts about what you have determined from the data and your analysis, often with a broader personal or societal perspective in mind. Nothing new should be introduced in the conclusion that was not previously discussed in the body paragraphs.
Include any tables of data or calculations, calculated values, and/or graphs associated with this problem in the body of your assignment.
Earn money selling
your Study Documents