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American School of Business Data Analysis Questions
1.This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you took ...
American School of Business Data Analysis Questions
1.This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you took to explore the data and if the data is appropriate for the model (You may break this into multiple paragraphs if needed). Where is the data from (Similar or same as DAX 4)? How did you filter the data (This is now only position1)? Examine the assumptions in the instructions and determine the tables and plots that are needed and state if each appears to be met (Boxplot for outliers, Scatter plots for linearity of continuous variables, observed by predicted for equal variance and fit diagnostics for normality of error terms). You should reference the appropriate figures and tables in the paragraph. You should always provide a summary statistics table and discuss it (missing data and relevant statistics). The last sentence should be whether the data is appropriate for a linear regression. THESE SHOULD INCLUDE HEIGHT and BE LIMITED TO POSITION 1 so some will be similar but not the same as DAX 4. 2.This paragraph discusses the results. Were the model results significant (Report the f value and the p value from SAS)? What was the R-Squared and Root MSE with and without height and how do they compare to the model from DAX 4? Discuss the Parameter estimate for height and interpret it. 3.What is your recommendation for evaluating the position 1 in a separate model? Does the company discriminate by height? Does the company have good evidence against discrimination, or should they settle out of court? After the body of the memo you should have several figures (Histogram and boxplot of $/hr, scatter plots for each continuous variable compared to the dependent, observed vs predicted, and fit diagnostics) and tables (Summary statistics and Parameter estimates). Format them, number them, and refer to them in the text.
Statistics Testing Differences Between Means Variances & Proportions Task
A town official claims that the average vehicle in their area sells for more than the 40th percentile of your data set. Us ...
Statistics Testing Differences Between Means Variances & Proportions Task
A town official claims that the average vehicle in their area sells for more than the 40th percentile of your data set. Using the data, you obtained in week 1, as well as the summary statistics you found for the original data set, run a hypothesis test to determine if the claim can be supported. Make sure you state all the important values, so your fellow classmates can use them to run a hypothesis test as well. Use the descriptive statistics you found during Week 2 NOT the new SD you found during Week 4. Because again, we are using the original 10 sample data set NOT a new smaller sample size. Use alpha = .05 to test your claim.
(Note: You will want to use the function =PERCENTILE.INC in Excel to find the 40th percentile of your data set. Hopefully this Excel function looks familiar to you from Week 2.)
First determine if you are using a z or t-test and explain why. Then conduct a four-step hypothesis test including a sentence at the end justifying the support or lack of support for the claim and why you made that choice.
HLTH 501 Liberty University The Framingham Heart Study Presentation
Interpretation & Oral PresentationFor this assignment, students will utilize the information from Part I Case Study Analys ...
HLTH 501 Liberty University The Framingham Heart Study Presentation
Interpretation & Oral PresentationFor this assignment, students will utilize the information from Part I Case Study Analysis to create an oral presentation in which they summarize and interpret selected data from the Framingham Heart Study. Interpreting data is a crucial part of practical biostatistics that shows mastery of data evaluation and implications for application.In both the summary paper (Part I) and oral presentations (Part II), students will describe the study sample based on patient characteristics, compare risk factors among men and women, determine which characteristics are associated with BMI through simple and multivariable linear regression, and determine if there are significant differences in risk factors between persons with and without prevalent coronary heart disease (CHD). Included will be a discussion of the appropriateness of the data collection methods used in comparison to other methods that could have been used.Data are to be concisely interpreted and the resulting summary paper (Part I) cannot exceed 300 words in length for each question. The oral presentation may be conducted using audio, YouTube, Adobe Spark, PowerPoint, or another form of communication file. Video files are optional. The student will use the provided rubric to evaluate/grade the case study and report the findings in both written and oral formats.Due time at 5pm tomorrow. A little over 1 day.
Algebra Exec Prep Trigonometric Ratios and the Unit Circle Questions
This is a Alg2
assignment. I have attached the pdf to complete.
This assignment came with a very short video presentatio ...
Algebra Exec Prep Trigonometric Ratios and the Unit Circle Questions
This is a Alg2
assignment. I have attached the pdf to complete.
This assignment came with a very short video presentation. You DO NOT
have access to the video, so I have include the transcript of the video
to help you complete. It is pretty simple and will not require more than
an hour or so of time. Thank you in advance for accurate information.
Attached is a pdf of the transcript of the video, then the actual questions that need to be answered.
8 pages
Usw1 Ddba 8307 Week07 Assignmenttemplate
Contingency table referred as two-way tables is a vital statistical analysis tool utilized in the process of evaluating th ...
Usw1 Ddba 8307 Week07 Assignmenttemplate
Contingency table referred as two-way tables is a vital statistical analysis tool utilized in the process of evaluating the associations between ...
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Most Popular Content
American School of Business Data Analysis Questions
1.This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you took ...
American School of Business Data Analysis Questions
1.This paragraph(s) describes where the data came from (This is likely from an internal database), the steps that you took to explore the data and if the data is appropriate for the model (You may break this into multiple paragraphs if needed). Where is the data from (Similar or same as DAX 4)? How did you filter the data (This is now only position1)? Examine the assumptions in the instructions and determine the tables and plots that are needed and state if each appears to be met (Boxplot for outliers, Scatter plots for linearity of continuous variables, observed by predicted for equal variance and fit diagnostics for normality of error terms). You should reference the appropriate figures and tables in the paragraph. You should always provide a summary statistics table and discuss it (missing data and relevant statistics). The last sentence should be whether the data is appropriate for a linear regression. THESE SHOULD INCLUDE HEIGHT and BE LIMITED TO POSITION 1 so some will be similar but not the same as DAX 4. 2.This paragraph discusses the results. Were the model results significant (Report the f value and the p value from SAS)? What was the R-Squared and Root MSE with and without height and how do they compare to the model from DAX 4? Discuss the Parameter estimate for height and interpret it. 3.What is your recommendation for evaluating the position 1 in a separate model? Does the company discriminate by height? Does the company have good evidence against discrimination, or should they settle out of court? After the body of the memo you should have several figures (Histogram and boxplot of $/hr, scatter plots for each continuous variable compared to the dependent, observed vs predicted, and fit diagnostics) and tables (Summary statistics and Parameter estimates). Format them, number them, and refer to them in the text.
Statistics Testing Differences Between Means Variances & Proportions Task
A town official claims that the average vehicle in their area sells for more than the 40th percentile of your data set. Us ...
Statistics Testing Differences Between Means Variances & Proportions Task
A town official claims that the average vehicle in their area sells for more than the 40th percentile of your data set. Using the data, you obtained in week 1, as well as the summary statistics you found for the original data set, run a hypothesis test to determine if the claim can be supported. Make sure you state all the important values, so your fellow classmates can use them to run a hypothesis test as well. Use the descriptive statistics you found during Week 2 NOT the new SD you found during Week 4. Because again, we are using the original 10 sample data set NOT a new smaller sample size. Use alpha = .05 to test your claim.
(Note: You will want to use the function =PERCENTILE.INC in Excel to find the 40th percentile of your data set. Hopefully this Excel function looks familiar to you from Week 2.)
First determine if you are using a z or t-test and explain why. Then conduct a four-step hypothesis test including a sentence at the end justifying the support or lack of support for the claim and why you made that choice.
HLTH 501 Liberty University The Framingham Heart Study Presentation
Interpretation & Oral PresentationFor this assignment, students will utilize the information from Part I Case Study Analys ...
HLTH 501 Liberty University The Framingham Heart Study Presentation
Interpretation & Oral PresentationFor this assignment, students will utilize the information from Part I Case Study Analysis to create an oral presentation in which they summarize and interpret selected data from the Framingham Heart Study. Interpreting data is a crucial part of practical biostatistics that shows mastery of data evaluation and implications for application.In both the summary paper (Part I) and oral presentations (Part II), students will describe the study sample based on patient characteristics, compare risk factors among men and women, determine which characteristics are associated with BMI through simple and multivariable linear regression, and determine if there are significant differences in risk factors between persons with and without prevalent coronary heart disease (CHD). Included will be a discussion of the appropriateness of the data collection methods used in comparison to other methods that could have been used.Data are to be concisely interpreted and the resulting summary paper (Part I) cannot exceed 300 words in length for each question. The oral presentation may be conducted using audio, YouTube, Adobe Spark, PowerPoint, or another form of communication file. Video files are optional. The student will use the provided rubric to evaluate/grade the case study and report the findings in both written and oral formats.Due time at 5pm tomorrow. A little over 1 day.
Algebra Exec Prep Trigonometric Ratios and the Unit Circle Questions
This is a Alg2
assignment. I have attached the pdf to complete.
This assignment came with a very short video presentatio ...
Algebra Exec Prep Trigonometric Ratios and the Unit Circle Questions
This is a Alg2
assignment. I have attached the pdf to complete.
This assignment came with a very short video presentation. You DO NOT
have access to the video, so I have include the transcript of the video
to help you complete. It is pretty simple and will not require more than
an hour or so of time. Thank you in advance for accurate information.
Attached is a pdf of the transcript of the video, then the actual questions that need to be answered.
8 pages
Usw1 Ddba 8307 Week07 Assignmenttemplate
Contingency table referred as two-way tables is a vital statistical analysis tool utilized in the process of evaluating th ...
Usw1 Ddba 8307 Week07 Assignmenttemplate
Contingency table referred as two-way tables is a vital statistical analysis tool utilized in the process of evaluating the associations between ...
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