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75,15,25,5,15,_________,_________,________,___________
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CNU The Framingham Heart Study Dataset Preloaded in SAS Studio Notes
Analyze the Framingham Heart Study* dataset preloaded in SAS Studio. Note: In SAS Studio the library called "SASHELP". The ...
CNU The Framingham Heart Study Dataset Preloaded in SAS Studio Notes
Analyze the Framingham Heart Study* dataset preloaded in SAS Studio. Note: In SAS Studio the library called "SASHELP". The dataset is called "HEART." *(see textbook Section 2.4)Step 1 - Review the contents of the SASHEART dataset.Run the following Code in SAS: PROC CONTENTS DATA = SASHELP.HEARTStep 2 - Produce summary statistics (i.e., mean, standard deviation, minimum, maximum & frequency) for the variable “Weight"Week 1 Resources: Chapter 4 & SAS Summary Statistics (i.e., video, PPT, code)Step 3 - Produce a Distribution Analysis for the Variable "Weight"Week 1 Resources: Chapter 4 & SAS Distribution Analysis (i.e., video, PPT, code)Step 4 - Produce a One Sample t-Test Analysis for the Variable "Weight" (H0=184)*Week 2 Resources: Chapter 7 & SAS One Sample t-Test Analysis (i.e., video, PPT, code)*((Average Weight Men = 197.8 lbs + 170.5 lbs Average Weight Women)/2)) = 184.15 lbs => H0 = 184Body Measurements - for Adults 20+Step 5 - Complete & Submit "Heart Analyses Worksheet #1"Resources SASHELP_HEART Codebook SASHELP_HEART Codebook - Alternative Formats - PDF Document (394.2 KB) Heart Analyses Worksheet Heart Analyses Worksheet - Alternative Formats - Word Document (39.7 KB)Note: Students can work in pairs to complete the assignment; however, each student must submit a completed worksheet.Click on the "Week Two SAS Assignment" link above to submit your assignment, as well as to get more information regarding the due date and grading rubric.
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessi ...
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessible from within MyLab. A pdf of the activity is attached to this discussion and can be downloaded using this link.In this activity you will use an applet to simulate a hypothesis test about a political poll. Step 1 - guided exploration with the appletFollow the steps in the attached activity document. Here's a direct link to the applet you need for this activity: https://www.statcrunch.com/app/index.php?launch=sullystats&app=politicalpoll (Links to an external site.)Step 2 - Post your thoughts on the questions in the activityPlease post to the discussion board with your answers to the questions embedded in all parts of the activity.Step 3 - Respond to at least one classmateUnlike some past discussions, I have not broken the class up into groups, and I have not set Canvas to assign you to review a particular classmate's post. You should just read your classmates' posts, and reply to anything you find noteworthy. This might be something that struck you as particularly interesting about how they answered the questions, a misconception you may have had that their post helped clarify for you, a misconception that they might have in their thinking, or anything else that stands out to you.You have to make your initial post before you can see the posts of other people in the class.
86 pages
maths solution
This document will assist both the teachers and students to understand and pass in maths purchase one for your benefit
...
maths solution
This document will assist both the teachers and students to understand and pass in maths purchase one for your benefit
it gives all the explanation in maths solved examples
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you bui ...
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you build a model to assess if on-campus living increases the odds for of gradation within 5 years. Then you use the model to predict whether a student graduates. For background information read the article attached page 1-8. Pages 14-23 may help you to understand prediction analysis. When creating your report, you should:Explaining:Review the dependent variable GRAD-BUS5.Using all data run a model in JMP with GRAD-BUS5 as the outcome variable (Y) and OnCampus as independent variable (X). Interpret result with respect to the factor OnCampus. Evaluate each of the predictors to assess outliers, missing values, data type and necessary binning. Bin predictors as necessary. Using all data build a model that includes OnCampus and any other predictor that should be in the model.Interpret result with respect to the factor OnCampus again. Prediction:
To build a prediction model first create a validation column using a random split 70% training and 30% validation. Build a model to predict graduation using the training set.Obtain all the metrics for the validation set: Error, confusion matrix, ROC and Lift curve. Use the spreadsheet provided in the assignment to provide the confusion matrix for the validation set in the appendix. You can cut and past the information from JMP and then copy the confusion matrix into the appendix of the report.Report and interpret sensitivity, specificity, false positive and false negative rate, overall error rate.Add the ROC and Lift curve in the appendix and interpret them in your report.In your conclusion explain if OnCampus living improving 5-Year graduation rates. Provide strengths and weaknesses of the model for prediction.
Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column and portrait format (column width between 3.5'-3.6)1 page for the appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00) in the header as in the sample assignment. 10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of ...." and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf only with filename first name initial last name and assignment number (for instance HSchneider#1)
Be sure to review the Assignment Rubric and Assignment 5 Example attached below
12 pages
Solution Online Exam Final 3
Part A. Hypothesis Testing – Computation (20 points each, 80 points total) For each of the followings, conduct an approp ...
Solution Online Exam Final 3
Part A. Hypothesis Testing – Computation (20 points each, 80 points total) For each of the followings, conduct an appropriate statistical test of ...
Complete Week 3 PreCalculus Assignment NO PLAGIARISM
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the approp ...
Complete Week 3 PreCalculus Assignment NO PLAGIARISM
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the appropriate drop box.1) A museum borrows $2,000,000 at simple annual interest to purchase new exhibits. Let x represent the amount borrowed at 7%, y represent the amount borrowed at 8.5%, and z represent the amount borrowed at 9.5%. Set up a system of linear equations to determine how much is borrowed at each rate given that the total annual interest is $169,750 and the amount borrowed at 8.5% is four times the amount borrowed at 9.5%. You do not have to solve the system.2) At a local store, the numbers of gallons of skim milk, 2% milk, and whole milk sold over the weekend are represented by a matrix A. Skim 2% Whole Friday 40 64 52 Saturday 60 82 76 Sunday 76 96 84The selling prices per gallon and the profits per gallon for the three types of milk are represented by B. Selling price Profit Skim $3.45 $1.20 2% $3.65 $1.30 Whole $3.85 $1.45 a) Compute AB and interpret the result. b) Find the store’s total profit from milk sales for the weekend3) A florist is creating 10 centerpieces. Roses cost $2.50 each, lilies cost $4 each, and irises cost $2 each. A customer plans on spending $300 on 10 centerpieces with each centerpiece containing 12 flowers, with twice as many roses as the number of irises and lilies combined.a) Write a system of linear equations that represents the situation. Then write a matrix equation that corresponds to your system.b) Find the number of flowers of each type that the florist can use to create the 10 centerpieces.4) One hundred liters of a 50% solution of a chemical mixture is obtained by mixing a 60% solution with a 20% solution. Using a system of linear equations determine how many liters of each solution are required to obtain the 50% mixture. Solve the system using matrices.
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CNU The Framingham Heart Study Dataset Preloaded in SAS Studio Notes
Analyze the Framingham Heart Study* dataset preloaded in SAS Studio. Note: In SAS Studio the library called "SASHELP". The ...
CNU The Framingham Heart Study Dataset Preloaded in SAS Studio Notes
Analyze the Framingham Heart Study* dataset preloaded in SAS Studio. Note: In SAS Studio the library called "SASHELP". The dataset is called "HEART." *(see textbook Section 2.4)Step 1 - Review the contents of the SASHEART dataset.Run the following Code in SAS: PROC CONTENTS DATA = SASHELP.HEARTStep 2 - Produce summary statistics (i.e., mean, standard deviation, minimum, maximum & frequency) for the variable “Weight"Week 1 Resources: Chapter 4 & SAS Summary Statistics (i.e., video, PPT, code)Step 3 - Produce a Distribution Analysis for the Variable "Weight"Week 1 Resources: Chapter 4 & SAS Distribution Analysis (i.e., video, PPT, code)Step 4 - Produce a One Sample t-Test Analysis for the Variable "Weight" (H0=184)*Week 2 Resources: Chapter 7 & SAS One Sample t-Test Analysis (i.e., video, PPT, code)*((Average Weight Men = 197.8 lbs + 170.5 lbs Average Weight Women)/2)) = 184.15 lbs => H0 = 184Body Measurements - for Adults 20+Step 5 - Complete & Submit "Heart Analyses Worksheet #1"Resources SASHELP_HEART Codebook SASHELP_HEART Codebook - Alternative Formats - PDF Document (394.2 KB) Heart Analyses Worksheet Heart Analyses Worksheet - Alternative Formats - Word Document (39.7 KB)Note: Students can work in pairs to complete the assignment; however, each student must submit a completed worksheet.Click on the "Week Two SAS Assignment" link above to submit your assignment, as well as to get more information regarding the due date and grading rubric.
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessi ...
MATH136 Glendale Community Political Poll Hypothesis Tests
This discussion is based on the Logic of Hypothesis Testing activity from the Chapter 10 Student Activity Workbook accessible from within MyLab. A pdf of the activity is attached to this discussion and can be downloaded using this link.In this activity you will use an applet to simulate a hypothesis test about a political poll. Step 1 - guided exploration with the appletFollow the steps in the attached activity document. Here's a direct link to the applet you need for this activity: https://www.statcrunch.com/app/index.php?launch=sullystats&app=politicalpoll (Links to an external site.)Step 2 - Post your thoughts on the questions in the activityPlease post to the discussion board with your answers to the questions embedded in all parts of the activity.Step 3 - Respond to at least one classmateUnlike some past discussions, I have not broken the class up into groups, and I have not set Canvas to assign you to review a particular classmate's post. You should just read your classmates' posts, and reply to anything you find noteworthy. This might be something that struck you as particularly interesting about how they answered the questions, a misconception you may have had that their post helped clarify for you, a misconception that they might have in their thinking, or anything else that stands out to you.You have to make your initial post before you can see the posts of other people in the class.
86 pages
maths solution
This document will assist both the teachers and students to understand and pass in maths purchase one for your benefit
...
maths solution
This document will assist both the teachers and students to understand and pass in maths purchase one for your benefit
it gives all the explanation in maths solved examples
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you bui ...
ISDS 7302 Louisiana State University Mod 5 Factors Affecting Graduation Rate Logistic Regression Model
Module 5 AssignmentIn this assignment you will build a logistic regression model to explain and to predict. First, you build a model to assess if on-campus living increases the odds for of gradation within 5 years. Then you use the model to predict whether a student graduates. For background information read the article attached page 1-8. Pages 14-23 may help you to understand prediction analysis. When creating your report, you should:Explaining:Review the dependent variable GRAD-BUS5.Using all data run a model in JMP with GRAD-BUS5 as the outcome variable (Y) and OnCampus as independent variable (X). Interpret result with respect to the factor OnCampus. Evaluate each of the predictors to assess outliers, missing values, data type and necessary binning. Bin predictors as necessary. Using all data build a model that includes OnCampus and any other predictor that should be in the model.Interpret result with respect to the factor OnCampus again. Prediction:
To build a prediction model first create a validation column using a random split 70% training and 30% validation. Build a model to predict graduation using the training set.Obtain all the metrics for the validation set: Error, confusion matrix, ROC and Lift curve. Use the spreadsheet provided in the assignment to provide the confusion matrix for the validation set in the appendix. You can cut and past the information from JMP and then copy the confusion matrix into the appendix of the report.Report and interpret sensitivity, specificity, false positive and false negative rate, overall error rate.Add the ROC and Lift curve in the appendix and interpret them in your report.In your conclusion explain if OnCampus living improving 5-Year graduation rates. Provide strengths and weaknesses of the model for prediction.
Prepare the report using the following formatting guidelines:1 page, single-spaced report using 0.5 margins and two-column and portrait format (column width between 3.5'-3.6)1 page for the appendixInclude title of report, then FirstName, LastName, ISDS course #, Assignment #, date (00/00/00) in the header as in the sample assignment. 10 pt Font Calibri or Times New RomanJustified as sample reportCreate headings for each sectionList any references used (e.g. Module 1 Resources)Include a title for your report e.g. "Text Analysis of ...." and create headings for each sectionInclude supporting relevant figures from the analysis in your AppendixSubmit as pdf only with filename first name initial last name and assignment number (for instance HSchneider#1)
Be sure to review the Assignment Rubric and Assignment 5 Example attached below
12 pages
Solution Online Exam Final 3
Part A. Hypothesis Testing – Computation (20 points each, 80 points total) For each of the followings, conduct an approp ...
Solution Online Exam Final 3
Part A. Hypothesis Testing – Computation (20 points each, 80 points total) For each of the followings, conduct an appropriate statistical test of ...
Complete Week 3 PreCalculus Assignment NO PLAGIARISM
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the approp ...
Complete Week 3 PreCalculus Assignment NO PLAGIARISM
Week Three - Application AssignmentAnswer the following questions in a Word document and upload the document to the appropriate drop box.1) A museum borrows $2,000,000 at simple annual interest to purchase new exhibits. Let x represent the amount borrowed at 7%, y represent the amount borrowed at 8.5%, and z represent the amount borrowed at 9.5%. Set up a system of linear equations to determine how much is borrowed at each rate given that the total annual interest is $169,750 and the amount borrowed at 8.5% is four times the amount borrowed at 9.5%. You do not have to solve the system.2) At a local store, the numbers of gallons of skim milk, 2% milk, and whole milk sold over the weekend are represented by a matrix A. Skim 2% Whole Friday 40 64 52 Saturday 60 82 76 Sunday 76 96 84The selling prices per gallon and the profits per gallon for the three types of milk are represented by B. Selling price Profit Skim $3.45 $1.20 2% $3.65 $1.30 Whole $3.85 $1.45 a) Compute AB and interpret the result. b) Find the store’s total profit from milk sales for the weekend3) A florist is creating 10 centerpieces. Roses cost $2.50 each, lilies cost $4 each, and irises cost $2 each. A customer plans on spending $300 on 10 centerpieces with each centerpiece containing 12 flowers, with twice as many roses as the number of irises and lilies combined.a) Write a system of linear equations that represents the situation. Then write a matrix equation that corresponds to your system.b) Find the number of flowers of each type that the florist can use to create the 10 centerpieces.4) One hundred liters of a 50% solution of a chemical mixture is obtained by mixing a 60% solution with a 20% solution. Using a system of linear equations determine how many liters of each solution are required to obtain the 50% mixture. Solve the system using matrices.
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