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hello
x value is increase by 2 and y value is increased by 3
so ANSWER IS option C
C. triangle is translated 2 units right and 3 units up
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Using the z-score, statistics homework help
Using the database created in W1 Assignment 2, convert each subject's age and height into a z-score. Using the z-score of ...
Using the z-score, statistics homework help
Using the database created in W1 Assignment 2, convert each subject's age and height into a z-score. Using the z-score of ±1.645 for the 5 percent cutoff and the z-score of ±1.96 for the 2.5 percent in the tail, identify the subject identification (ID) number for subjects who are closest to the cutoff for the upper 2.5 percent and 5 percent of the scores and the lower 2.5 percent and 5 percent of the scores. Identify the subject ID numbers for appropriate cutoffs in a 1-page Microsoft Word document. Save the Minitab worksheet. This is the database created in W1 Assignment 2, ID AGE SEX HEIGHT YEAR IN COLLEGE Standardize AGE Standardize HEIGHT 01 18 Female 60 Freshman -1.32476412994918 -1.55042350077304 02 18 Female 60 Freshman -1.32476412994918 -1.55042350077304 03 18 Female 61 Freshman -1.32476412994918 -1.26594212448441 04 18 Female 61 Freshman -1.32476412994918 -1.26594212448441 05 18 Female 62 Freshman -1.32476412994918 -0.981460748195778 06 18 Male 60 Freshman -1.32476412994918 -1.55042350077304 07 18 Male 60 Freshman -1.32476412994918 -1.55042350077304 08 18 Male 61 Freshman -1.32476412994918 -1.26594212448441 09 18 Male 61 Freshman -1.32476412994918 -1.26594212448441 10 18 Male 62 Freshman -1.32476412994918 -0.981460748195778 11 19 Female 63 Sophomore -0.441588043316392 -0.696979371907147 12 19 Female 63 Sophomore -0.441588043316392 -0.696979371907147 13 19 Female 64 Sophomore -0.441588043316392 -0.412497995618516 14 19 Female 65 Sophomore -0.441588043316392 -0.128016619329885 15 19 Female 65 Sophomore -0.441588043316392 -0.128016619329885 16 19 Male 63 Sophomore -0.441588043316392 -0.696979371907147 17 19 Male 63 Sophomore -0.441588043316392 -0.696979371907147 18 19 Male 64 Sophomore -0.441588043316392 -0.412497995618516 19 19 Male 65 Sophomore -0.441588043316392 -0.128016619329885 20 19 Male 65 Sophomore -0.441588043316392 -0.128016619329885 21 20 Female 66 Junior 0.441588043316392 0.156464756958746 22 20 Female 67 Junior 0.441588043316392 0.440946133247377 23 20 Female 67 Junior 0.441588043316392 0.440946133247377 24 20 Female 68 Junior 0.441588043316392 0.725427509536008 25 20 Female 68 Junior 0.441588043316392 0.725427509536008 26 20 Male 66 Junior 0.441588043316392 0.156464756958746 27 20 Male 67 Junior 0.441588043316392 0.440946133247377 28 20 Male 67 Junior 0.441588043316392 0.440946133247377 29 20 Male 68 Junior 0.441588043316392 0.725427509536008 30 20 Male 68 Junior 0.441588043316392 0.725427509536008 31 21 Female 69 Senior 1.32476412994918 1.00990888582464 32 21 Female 69 Senior 1.32476412994918 1.00990888582464 33 21 Female 70 Senior 1.32476412994918 1.29439026211327 34 21Female 70 Senior 1.32476412994918 1.29439026211327 35 21Female 71 Senior 1.32476412994918 1.5788716384019 36 21 Male 69 Senior 1.32476412994918 1.00990888582464 37 21Male 69 Senior 1.32476412994918 1.00990888582464 38 21 Male 70 Senior 1.32476412994918 1.29439026211327 39 21 Male 70 Senior 1.32476412994918 1.29439026211327 40 21 Male 71 Senior 1.32476412994918 1.5788716384019
Scenario - A-Cat Corp.
Scenario:Operations management professionals are often relied upon to make decisions regarding operational processes. Thos ...
Scenario - A-Cat Corp.
Scenario:Operations management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured approach have a clear advantage over those offering decisions based solely on intuition. You will be provided with a scenario often encountered by an operations manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the addendum, and the accompanying data in the case scenario and addendum; outline the appropriate analysis strategy; select a suitable statistical tool; and use data analysis to ultimately drive the decision. Once this has been completed, you will be challenged to present your data, data analysis strategy, and overall decision in a concise report, justifying your analysis.Specifically, the following critical elements must be addressed:III. Identify statistical tools and methods to collect data: A. Identify the appropriate family of statistical tools that you will use to perform your analysis. What are your statistical assumptions concerning the data that led you to selecting this family of tools? In other words, why did you select this family of tools for statistical analysis?B. Determine the category of the provided data in the given case study. Be sure to justify why the data fits into this category type. What is the relationship between the type of data and the tools? C. From the identified family of statistical tools, select the most appropriate tool(s) for analyzing the data provided in the given case study. D. Justify why you chose this tool to analyze the data. Be sure to include how this tool will help predict the use of the data in driving decisions.E. Describe the quantitative method that will best inform data-driven decisions. Be sure to include how this method will point out the relationships between the data. How will this method allow for the most reliable data? IV. Analyze data to determine the appropriate decision for the identified problem: A. Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem. B. Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important? C. After analyzing the data sets in the case study, describe the reliability of the results. Be sure to include how you know whether the results are reliable. D. Illustrate a data-driven decision that addresses the given problem. How does your decision address the given problem? How will it result in operational improvement? Guidelines: you will submit your selection of statistical tools and data analysis, which are critical elements III and IV. You will submit a 3- to 4-page paper and a spreadsheet that provides justification for the appropriate statistical tools needed to analyze the company’s data, a hypothesis, the results of your analysis, any inferences from your hypothesis test, and a forecasting model that addresses the company’s problem.
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Assignment 3 Inferential Statistics Analysis And Writeup
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Assignment 3 Inferential Statistics Analysis And Writeup
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Most Popular Content
Using the z-score, statistics homework help
Using the database created in W1 Assignment 2, convert each subject's age and height into a z-score. Using the z-score of ...
Using the z-score, statistics homework help
Using the database created in W1 Assignment 2, convert each subject's age and height into a z-score. Using the z-score of ±1.645 for the 5 percent cutoff and the z-score of ±1.96 for the 2.5 percent in the tail, identify the subject identification (ID) number for subjects who are closest to the cutoff for the upper 2.5 percent and 5 percent of the scores and the lower 2.5 percent and 5 percent of the scores. Identify the subject ID numbers for appropriate cutoffs in a 1-page Microsoft Word document. Save the Minitab worksheet. This is the database created in W1 Assignment 2, ID AGE SEX HEIGHT YEAR IN COLLEGE Standardize AGE Standardize HEIGHT 01 18 Female 60 Freshman -1.32476412994918 -1.55042350077304 02 18 Female 60 Freshman -1.32476412994918 -1.55042350077304 03 18 Female 61 Freshman -1.32476412994918 -1.26594212448441 04 18 Female 61 Freshman -1.32476412994918 -1.26594212448441 05 18 Female 62 Freshman -1.32476412994918 -0.981460748195778 06 18 Male 60 Freshman -1.32476412994918 -1.55042350077304 07 18 Male 60 Freshman -1.32476412994918 -1.55042350077304 08 18 Male 61 Freshman -1.32476412994918 -1.26594212448441 09 18 Male 61 Freshman -1.32476412994918 -1.26594212448441 10 18 Male 62 Freshman -1.32476412994918 -0.981460748195778 11 19 Female 63 Sophomore -0.441588043316392 -0.696979371907147 12 19 Female 63 Sophomore -0.441588043316392 -0.696979371907147 13 19 Female 64 Sophomore -0.441588043316392 -0.412497995618516 14 19 Female 65 Sophomore -0.441588043316392 -0.128016619329885 15 19 Female 65 Sophomore -0.441588043316392 -0.128016619329885 16 19 Male 63 Sophomore -0.441588043316392 -0.696979371907147 17 19 Male 63 Sophomore -0.441588043316392 -0.696979371907147 18 19 Male 64 Sophomore -0.441588043316392 -0.412497995618516 19 19 Male 65 Sophomore -0.441588043316392 -0.128016619329885 20 19 Male 65 Sophomore -0.441588043316392 -0.128016619329885 21 20 Female 66 Junior 0.441588043316392 0.156464756958746 22 20 Female 67 Junior 0.441588043316392 0.440946133247377 23 20 Female 67 Junior 0.441588043316392 0.440946133247377 24 20 Female 68 Junior 0.441588043316392 0.725427509536008 25 20 Female 68 Junior 0.441588043316392 0.725427509536008 26 20 Male 66 Junior 0.441588043316392 0.156464756958746 27 20 Male 67 Junior 0.441588043316392 0.440946133247377 28 20 Male 67 Junior 0.441588043316392 0.440946133247377 29 20 Male 68 Junior 0.441588043316392 0.725427509536008 30 20 Male 68 Junior 0.441588043316392 0.725427509536008 31 21 Female 69 Senior 1.32476412994918 1.00990888582464 32 21 Female 69 Senior 1.32476412994918 1.00990888582464 33 21 Female 70 Senior 1.32476412994918 1.29439026211327 34 21Female 70 Senior 1.32476412994918 1.29439026211327 35 21Female 71 Senior 1.32476412994918 1.5788716384019 36 21 Male 69 Senior 1.32476412994918 1.00990888582464 37 21Male 69 Senior 1.32476412994918 1.00990888582464 38 21 Male 70 Senior 1.32476412994918 1.29439026211327 39 21 Male 70 Senior 1.32476412994918 1.29439026211327 40 21 Male 71 Senior 1.32476412994918 1.5788716384019
Scenario - A-Cat Corp.
Scenario:Operations management professionals are often relied upon to make decisions regarding operational processes. Thos ...
Scenario - A-Cat Corp.
Scenario:Operations management professionals are often relied upon to make decisions regarding operational processes. Those who utilize a data-driven, structured approach have a clear advantage over those offering decisions based solely on intuition. You will be provided with a scenario often encountered by an operations manager. Your task is to review the “A-Cat Corp.: Forecasting” scenario, the addendum, and the accompanying data in the case scenario and addendum; outline the appropriate analysis strategy; select a suitable statistical tool; and use data analysis to ultimately drive the decision. Once this has been completed, you will be challenged to present your data, data analysis strategy, and overall decision in a concise report, justifying your analysis.Specifically, the following critical elements must be addressed:III. Identify statistical tools and methods to collect data: A. Identify the appropriate family of statistical tools that you will use to perform your analysis. What are your statistical assumptions concerning the data that led you to selecting this family of tools? In other words, why did you select this family of tools for statistical analysis?B. Determine the category of the provided data in the given case study. Be sure to justify why the data fits into this category type. What is the relationship between the type of data and the tools? C. From the identified family of statistical tools, select the most appropriate tool(s) for analyzing the data provided in the given case study. D. Justify why you chose this tool to analyze the data. Be sure to include how this tool will help predict the use of the data in driving decisions.E. Describe the quantitative method that will best inform data-driven decisions. Be sure to include how this method will point out the relationships between the data. How will this method allow for the most reliable data? IV. Analyze data to determine the appropriate decision for the identified problem: A. Outline the process needed to utilize your statistical analysis to reach a decision regarding the given problem. B. Explain how following this process leads to valid, data-driven decisions. In other words, why is following your outlined process important? C. After analyzing the data sets in the case study, describe the reliability of the results. Be sure to include how you know whether the results are reliable. D. Illustrate a data-driven decision that addresses the given problem. How does your decision address the given problem? How will it result in operational improvement? Guidelines: you will submit your selection of statistical tools and data analysis, which are critical elements III and IV. You will submit a 3- to 4-page paper and a spreadsheet that provides justification for the appropriate statistical tools needed to analyze the company’s data, a hypothesis, the results of your analysis, any inferences from your hypothesis test, and a forecasting model that addresses the company’s problem.
5 pages
Assignment 3 Inferential Statistics Analysis And Writeup
Part A: Inferential Statistics Data Analysis Plan and Computation 1. Confidence Interval Analysis: For one expenditure var ...
Assignment 3 Inferential Statistics Analysis And Writeup
Part A: Inferential Statistics Data Analysis Plan and Computation 1. Confidence Interval Analysis: For one expenditure variable, select and run the ...
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