probabbility question
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if i roll the dice 60 times what is the chance i get a 2 or 3
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Given this data set – from the NOAA for Manchester, NH, select a random month between January 1930 and December 1957. Begin with this month and analyze the next 25 data values (i.e. 2 years and 1 month) for the variable “TPCP” (See Second Tab in Data Set for variable descriptions). For example, if May 1955 is chosen as the starting month, then the “TPCP” data would be from May 1955 through May 1957. Using Excel, StatCrunch, etc., construct a histogram to represent your sample. Report the sample mean, median, and standard deviation as a part of your discussion of skewness.Determine the interval for the middle 68% of your sample data and relate this to the sample standard deviation.I uploaded the data
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There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), nu ...
MBA 6300 case study, quantitative analysis
There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), number of bedrooms, and number of bathrooms.The data in the Case Study No. 2.xlsx file pertains to a random sample of houses located in a particular geographic area.
Develop the following simple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area.
Sale price based upon number of bedrooms.
Sale price based upon number of bathrooms.
Develop the following multiple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area and number of bedrooms.
Sale price based upon square feet of living area and number of bathrooms.
Sale price based upon number of bedrooms and number of bathrooms.
Sale price based upon square feet of living area, number of bedrooms, and number of bathrooms.
Discuss the joint statistical significance of each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Discuss the individual statistical significance of the coefficient for each independent variable for each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Compare any of the preceding simple and multiple linear regression models that were found to be jointly and individually statistically significant at a 90% level of confidence and select the preferred regression model. Explain your selection using the appropriate regression statistics.
Interpret the coefficient for each independent variable (or variables) associated with your selected preferred regression model.
Using the preferred regression model, predict the sale price of a house with the following values for the independent variables: 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms.(Hint: You should only use the values for those independent variables that are specifically associated with your selected preferred regression model.)
Prepare a single Microsoft Excel file using a separate worksheet for each question
Assignment 1 - Statistics DRAFT
This is an individual project. I have attached the assignment descriptions, data files, and the template for the paper.I r ...
Assignment 1 - Statistics DRAFT
This is an individual project. I have attached the assignment descriptions, data files, and the template for the paper.I require a draft of your assignment during this week. At bare minimum submit your answers to parts 1 through 5. It will allow you to get feedback and make corrections before the final submission. Below is a video which walks you through the first four parts of the project and explains how to to answer part 5. I use a sample data set, and the steps and methods are the same for your assignment. You will just be using the data from your assigned project. I have also attached the assignment instructions and data sets as a convenience. In the Week 2 folder I have the project assignments listed. You also should have received an e-mail specifying which assignment you are to complete.In Week 3 folder I have videos for part 1 (Histogram https://cdnapisec.kaltura.com/index.php/extwidget/... ) and part 2 (mean, median, and standard deviation https://cdnapisec.kaltura.com/index.php/extwidget/.... ) I have placed for your convenience below videos on how to use my Excel file (which is also attached to Dr. Wilson's Input in the Weeks 7 and 8 Instructor Insights folder) to calculate confidence intervals (part 3) and conduct hypothesis tests (https://cdnapisec.kaltura.com/index.php/extwidget/...)(part 4 https://cdnapisec.kaltura.com/index.php/extwidget/... ). For this assignment, you will need to determine whether you should use the Mean Z-test or Mean t-test worksheet, since you are asked to find the 95% confidence interval about the mean and conduct a test about the mean. These videos are also available in the Week 7 and 8 Instructor Insights folders, along with topic specific videos.Once you have the results of your hypothesis test, you can determine if you need to address (a) or (b) of part 5. If you fail to reject the null (p-value is GREATER than significance level), you do not have support for the alternative hypothesis. If you reject the null (p-value is SMALLER than significance level), you have evidence the alternative hypothesis is true. Don't hesitate to contact me with any questions or concerns you may have.
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Most Popular Content
6 pages
Solution
A random sample of 5 year old children is evaluated for being left- or right-handed. The size n = 100 children of which 79 ...
Solution
A random sample of 5 year old children is evaluated for being left- or right-handed. The size n = 100 children of which 79 are right-handed, 15 are ...
7 pages
Litigation Memo
Memorandum to the court in the case Tierney vs. The True Car Parts Corporation Within the United States constitution and t ...
Litigation Memo
Memorandum to the court in the case Tierney vs. The True Car Parts Corporation Within the United States constitution and the Florida Law, was True Car ...
14 pages
Gerges Hypothesis Testing For Two Population Means Start
The present study shows data for salaries of accounting and marketing graduates of a business school at the end of the fir ...
Gerges Hypothesis Testing For Two Population Means Start
The present study shows data for salaries of accounting and marketing graduates of a business school at the end of the first year after
MATH 240 SNHU Data Set for Variable Descriptions Worksheet
Given this data set – from the NOAA for Manchester, NH, select a random month between January 1930 and December 1957. Be ...
MATH 240 SNHU Data Set for Variable Descriptions Worksheet
Given this data set – from the NOAA for Manchester, NH, select a random month between January 1930 and December 1957. Begin with this month and analyze the next 25 data values (i.e. 2 years and 1 month) for the variable “TPCP” (See Second Tab in Data Set for variable descriptions). For example, if May 1955 is chosen as the starting month, then the “TPCP” data would be from May 1955 through May 1957. Using Excel, StatCrunch, etc., construct a histogram to represent your sample. Report the sample mean, median, and standard deviation as a part of your discussion of skewness.Determine the interval for the middle 68% of your sample data and relate this to the sample standard deviation.I uploaded the data
MBA 6300 case study, quantitative analysis
There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), nu ...
MBA 6300 case study, quantitative analysis
There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), number of bedrooms, and number of bathrooms.The data in the Case Study No. 2.xlsx file pertains to a random sample of houses located in a particular geographic area.
Develop the following simple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area.
Sale price based upon number of bedrooms.
Sale price based upon number of bathrooms.
Develop the following multiple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area and number of bedrooms.
Sale price based upon square feet of living area and number of bathrooms.
Sale price based upon number of bedrooms and number of bathrooms.
Sale price based upon square feet of living area, number of bedrooms, and number of bathrooms.
Discuss the joint statistical significance of each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Discuss the individual statistical significance of the coefficient for each independent variable for each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Compare any of the preceding simple and multiple linear regression models that were found to be jointly and individually statistically significant at a 90% level of confidence and select the preferred regression model. Explain your selection using the appropriate regression statistics.
Interpret the coefficient for each independent variable (or variables) associated with your selected preferred regression model.
Using the preferred regression model, predict the sale price of a house with the following values for the independent variables: 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms.(Hint: You should only use the values for those independent variables that are specifically associated with your selected preferred regression model.)
Prepare a single Microsoft Excel file using a separate worksheet for each question
Assignment 1 - Statistics DRAFT
This is an individual project. I have attached the assignment descriptions, data files, and the template for the paper.I r ...
Assignment 1 - Statistics DRAFT
This is an individual project. I have attached the assignment descriptions, data files, and the template for the paper.I require a draft of your assignment during this week. At bare minimum submit your answers to parts 1 through 5. It will allow you to get feedback and make corrections before the final submission. Below is a video which walks you through the first four parts of the project and explains how to to answer part 5. I use a sample data set, and the steps and methods are the same for your assignment. You will just be using the data from your assigned project. I have also attached the assignment instructions and data sets as a convenience. In the Week 2 folder I have the project assignments listed. You also should have received an e-mail specifying which assignment you are to complete.In Week 3 folder I have videos for part 1 (Histogram https://cdnapisec.kaltura.com/index.php/extwidget/... ) and part 2 (mean, median, and standard deviation https://cdnapisec.kaltura.com/index.php/extwidget/.... ) I have placed for your convenience below videos on how to use my Excel file (which is also attached to Dr. Wilson's Input in the Weeks 7 and 8 Instructor Insights folder) to calculate confidence intervals (part 3) and conduct hypothesis tests (https://cdnapisec.kaltura.com/index.php/extwidget/...)(part 4 https://cdnapisec.kaltura.com/index.php/extwidget/... ). For this assignment, you will need to determine whether you should use the Mean Z-test or Mean t-test worksheet, since you are asked to find the 95% confidence interval about the mean and conduct a test about the mean. These videos are also available in the Week 7 and 8 Instructor Insights folders, along with topic specific videos.Once you have the results of your hypothesis test, you can determine if you need to address (a) or (b) of part 5. If you fail to reject the null (p-value is GREATER than significance level), you do not have support for the alternative hypothesis. If you reject the null (p-value is SMALLER than significance level), you have evidence the alternative hypothesis is true. Don't hesitate to contact me with any questions or concerns you may have.
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