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Explanation & Answer
(gof)=2(x+4)-5=2x+3
now,
y=2x+3
x=(y-3)/2
(gof)-1=(x-3)/2
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Course Project - Phase 4, statistics homework help
this week you will begin working on Phase 4 of your course project. For Phase 4 of your course project, you will want to r ...
Course Project - Phase 4, statistics homework help
this week you will begin working on Phase 4 of your course project. For Phase 4 of your course project, you will want to review your instructor's feedback from your Phase 1, Phase 2, and Phase 3 submissions to make any necessary corrections. Remember if you have questions about the feedback to ask your instructor for assistance. Once you have made your corrections, you will compile your information from Phase 1, Phase 2, Phase 3 and your final conclusion into one submission and submit this as your rough draft for Phase 4 of the course project. Below is a summary of the expectations for Phase 4 of the course project: Introduce your scenario and data set. Provide a brief overview of the scenario you are given above and the data set that you will be analyzing. Classify the variables in your data set. Which variables are quantitative/qualitative? Which variables are discrete/continuous? Describe the level of measurement for each variable included in your data set. Discuss the importance of the Measures of Center and the Measures of Variation. What are the measures of center and why are they important? What are the measures of variation and why are they important? Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic. Mean Median Mode Midrange Range Variance Standard Deviantion Discuss the importance of constructing confidence intervals for the population mean. What are confidence intervals? What is a point estimate? What is the best point estimate for the population mean? Explain. Why do we need confidence intervals? Based on your selected topic, evaluate the following: Find the best point estimate of the population mean. Construct a 95% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown. Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations. Write a statement that correctly interprets the confidence interval in context of your selected topic. Based on your selected topic, evaluate the following: Find the best point estimate of the population mean. Construct a 99% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown. Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations. Write a statement that correctly interprets the confidence interval in context of your selected topic. Compare and contrast your findings for the 95% and 99% confidence interval. Did you notice any changes in your interval estimate? Explain. What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain. Discuss the process for hypothesis testing. Discuss the 8 steps of hypothesis testing? When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value method or Critical Value method? Why? Perform the hypothesis test. selected Option 1: Original Claim: The average salary for all jobs in Minnesota is less than $65,000. Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown. Based on your selected topic, answer the following: Explain why you made your decision including the results for your p-value and the critical value. Conclusion Recap your ideas by summarizing the information presented in context of your chosen scenario. Please be sure to show all of your work and use the Equation Editor to format your equations.
Cuyamaca College Module 7 Drinking Habits Lab Data Analysis
In this discussion you will analyze the drinking data file to answer the two questions listed in the Prompt section below. ...
Cuyamaca College Module 7 Drinking Habits Lab Data Analysis
In this discussion you will analyze the drinking data file to answer the two questions listed in the Prompt section below. As a reminder, here is the same information we previously provided.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextA university conducted a student survey, collecting data from a random sample of 236 undergraduate students.The data for this lab is a subset of the real data collected by the university. Some students did not answer all of the questions in the survey. We use the symbol * in the spreadsheet to indicate missing data. VariablesGender Male or FemaleAlcohol Number of alcoholic beverages consumed in a typical weekHeight Self-reported height (in inches)Cheat Would you tell the instructor if you saw somebody cheating on an exam? (0=No, 1=Yes)DataIf you have not done so already, download the drinking (Links to an external site.) datafile, then upload the file in StatCrunch. PromptIn your initial discussion post, respond to each of the following after you download the drinking.xlsx file provided in the Data section below.Describe the distribution of weekly alcohol consumption using concepts from Unit 2.Make an appropriate graph and provide appropriate numerical summaries. To recall how to create these items, see the StatCrunch directions provided below.Describe the shape, center and spread using numerical measures that best describe the distribution.In your description, include an interval of typical values and a discussion of variability.Embed your StatCrunch graph in your initial post. To recall how to embed StatCrunch output, see the directions provided below.Do the data suggest that drinking is a problem in this university?Use the data to support your answer.List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (do not take screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (do not post attachments; please use these directions)Sort a StatCrunch SpreadsheetCreate a HistogramAdjust Histogram Bin WidthHere is a PDF document with all StatCrunch directions (Links to an external site.).
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps ...
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps to completion and
use the attached documents instead.Step 1: Refresh Your Math, Statistics and Excel Skills Step 2: Set Up Your Spreadsheet Use template Step 3: Add Data In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations. When you're ready, move on to the next step, where you will use functions to summarize the data. Step 4: Use Functions to Summarize the Data With this step complete, you’re ready to begin your analysis. Step 5: Analyze the Workforce You will be working in section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table. After you have used Excel formulas to find this information, you will next use the Toolpak to find your summary statistics. Step 6: Use the Analysis Toolpak you will now use the Analysis Toolpak to do those same functions. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version. You should now have Tab 2 complete: Excel Summary Stats. Next, you’ll create charts and a histogram for Tabs 3 and 4 Step 7: Create Charts and a Histogram In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data. Step 8: Copy and Sort the Data In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct your quantitative analysis. Step 9: Conduct Quantitative Analysis Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook. After you have answered the five questions, please finish the project by writing a short essay. Your short essay will include: a one-paragraph narrative summary of your findings, describing patterns of interest an explanation of the potential relevance of such patterns a description of how you would investigate further to determine if your results could be perceived as good or bad for the company. Prepare your responses in your workbook on the QR Questions_Responses tab. Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit your workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have: Excel Workbook with Six Tabs Tab 1: Data – completed data sheet (Steps 1–6 above) Tab 2: Excel Summary Stats (Step 6) Tab 3: Graphs – Charts (Step 7) Tab 4: Histogram (Step 7) Tab 5: Sorted Data (Step 8) Quantitative Analysis (Step 9; see detail below and move to first position upon completion.) Quantitative Analysis: Answers to Questions and Short Essay Prepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position. Your final workbook tabs: Quantitative Analysis Data Excel Summary Stats Graphs–Charts Histogram Sorted Data Format to Be Printed Format this workbook so that all the spreadsheets can be printed.
University of Phoenix Chapter 7 Coronavirus and Americas Economy Article HW
Research an article on a current event that centers on a controversial issue where the two sides are claiming opposing vie ...
University of Phoenix Chapter 7 Coronavirus and Americas Economy Article HW
Research an article on a current event that centers on a controversial issue where the two sides are claiming opposing views. Then, describe how you would analyze the situation to settle the issue if you were involved in this event. For example, if the article was about whether a proposed new law about gun control will reduce deaths, you may describe how you would use hypothesis testing to compare data from states where such laws exist. Or, if the article was about actions to take to reduce gas prices, you could talk about how you would use regression to figure out which factors affected prices at the pump the most. General discussions like “should marijuana be legal” or “do vaccines cause autism” are not appropriate. Pick a current and specific debate.Please note that this discussion should be limited to how statistical analysis can be applied to current issues. This is not the place to champion a particular position on the issue you are discussing or get into an argument about the various sides of an issue. Remember, you are here to analyze, not proselytize.Also note that the article you are citing must be discussing the opposing views on the issue. Do not introduce your own perspective on what is being disputed. For example if the article is about the new budget being passed but does not discuss any conflicts of opinion, it doesn’t qualify.Please use the template below in your answers so everyone can easily follow your answers to all the questions (copy and paste to your post).Use this template for your Unit 6 Discussion.Summary of the articleBriefly describe the current event described in the article.Central questionWhat does the article say about the issue being disputed? What are the conflicting points of view according to the article? Use direct quotes from the article to summarize the dispute and the opposing sides.There has to be some specific issue in dispute at the center (do tax breaks increase spending, what impacts health care costs the most, etc.), and the sides have to be defending a particular position.Do not use examples where the issue is based on opinions or morality. For example, “Should abortion be legal?” is largely a morality question and is not suitable for statistical analysis. Conducting a survey to ask people about their opinions is not the same as analyzing data and making conclusions- you still only have opinions.MethodologyExplain which methodology you will apply. Provide the relevant details. Where will your data come from? How will the results from this methodology answer the question you described above?If you are going to use forecasting, explain how you will do that (which methodology and why) and how you will measure your accuracy. How will the forecast settle the issue?If you do a regression analysis, explain what the dependent and independent variables will be.If you will do hypothesis testing, what will the null and alternative hypothesis be?
7 pages
M6 Homework 1
This module’s homework problems will cover the following topics: Part 1: Review Questions from Chapters 12 and 13. (Plea ...
M6 Homework 1
This module’s homework problems will cover the following topics: Part 1: Review Questions from Chapters 12 and 13. (Please highlight your answers.)
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Course Project - Phase 4, statistics homework help
this week you will begin working on Phase 4 of your course project. For Phase 4 of your course project, you will want to r ...
Course Project - Phase 4, statistics homework help
this week you will begin working on Phase 4 of your course project. For Phase 4 of your course project, you will want to review your instructor's feedback from your Phase 1, Phase 2, and Phase 3 submissions to make any necessary corrections. Remember if you have questions about the feedback to ask your instructor for assistance. Once you have made your corrections, you will compile your information from Phase 1, Phase 2, Phase 3 and your final conclusion into one submission and submit this as your rough draft for Phase 4 of the course project. Below is a summary of the expectations for Phase 4 of the course project: Introduce your scenario and data set. Provide a brief overview of the scenario you are given above and the data set that you will be analyzing. Classify the variables in your data set. Which variables are quantitative/qualitative? Which variables are discrete/continuous? Describe the level of measurement for each variable included in your data set. Discuss the importance of the Measures of Center and the Measures of Variation. What are the measures of center and why are they important? What are the measures of variation and why are they important? Calculate the measures of center and measures of variation. Interpret your results in context of the selected topic. Mean Median Mode Midrange Range Variance Standard Deviantion Discuss the importance of constructing confidence intervals for the population mean. What are confidence intervals? What is a point estimate? What is the best point estimate for the population mean? Explain. Why do we need confidence intervals? Based on your selected topic, evaluate the following: Find the best point estimate of the population mean. Construct a 95% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown. Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations. Write a statement that correctly interprets the confidence interval in context of your selected topic. Based on your selected topic, evaluate the following: Find the best point estimate of the population mean. Construct a 99% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown. Please show your work for the construction of this confidence interval and be sure to use the Equation Editor to format your equations. Write a statement that correctly interprets the confidence interval in context of your selected topic. Compare and contrast your findings for the 95% and 99% confidence interval. Did you notice any changes in your interval estimate? Explain. What conclusion(s) can be drawn about your interval estimates when the confidence level is increased? Explain. Discuss the process for hypothesis testing. Discuss the 8 steps of hypothesis testing? When performing the 8 steps for hypothesis testing, which method do you prefer; P-Value method or Critical Value method? Why? Perform the hypothesis test. selected Option 1: Original Claim: The average salary for all jobs in Minnesota is less than $65,000. Test the claim using α = 0.05 and assume your data is normally distributed and σ is unknown. Based on your selected topic, answer the following: Explain why you made your decision including the results for your p-value and the critical value. Conclusion Recap your ideas by summarizing the information presented in context of your chosen scenario. Please be sure to show all of your work and use the Equation Editor to format your equations.
Cuyamaca College Module 7 Drinking Habits Lab Data Analysis
In this discussion you will analyze the drinking data file to answer the two questions listed in the Prompt section below. ...
Cuyamaca College Module 7 Drinking Habits Lab Data Analysis
In this discussion you will analyze the drinking data file to answer the two questions listed in the Prompt section below. As a reminder, here is the same information we previously provided.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions, grading rubric, and definition of high-quality feedback for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextA university conducted a student survey, collecting data from a random sample of 236 undergraduate students.The data for this lab is a subset of the real data collected by the university. Some students did not answer all of the questions in the survey. We use the symbol * in the spreadsheet to indicate missing data. VariablesGender Male or FemaleAlcohol Number of alcoholic beverages consumed in a typical weekHeight Self-reported height (in inches)Cheat Would you tell the instructor if you saw somebody cheating on an exam? (0=No, 1=Yes)DataIf you have not done so already, download the drinking (Links to an external site.) datafile, then upload the file in StatCrunch. PromptIn your initial discussion post, respond to each of the following after you download the drinking.xlsx file provided in the Data section below.Describe the distribution of weekly alcohol consumption using concepts from Unit 2.Make an appropriate graph and provide appropriate numerical summaries. To recall how to create these items, see the StatCrunch directions provided below.Describe the shape, center and spread using numerical measures that best describe the distribution.In your description, include an interval of typical values and a discussion of variability.Embed your StatCrunch graph in your initial post. To recall how to embed StatCrunch output, see the directions provided below.Do the data suggest that drinking is a problem in this university?Use the data to support your answer.List of StatCrunch DirectionsEach link will open in a new window. To return to this discussion, either close the new tab or select the tab for this discussion. Create Your Stats-Class Folder in Canvas (You only need to do this once.)Purchase StatCrunch (You only need to do this once.)Open StatCrunchDownload Excel Data FileUpload Excel Data File to StatCrunchDownload StatCrunch Output Window (do not take screenshots; please use these directions)Upload Files into Your Stat-Class Folder in CanvasEmbed Pictures in a Discussion Post (do not post attachments; please use these directions)Sort a StatCrunch SpreadsheetCreate a HistogramAdjust Histogram Bin WidthHere is a PDF document with all StatCrunch directions (Links to an external site.).
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps ...
Conduct Quantitative Analysis
For Project 4, we are just asking for the sales figures for
2019 and 2020, which is given. Disregard Step 2 in the steps to completion and
use the attached documents instead.Step 1: Refresh Your Math, Statistics and Excel Skills Step 2: Set Up Your Spreadsheet Use template Step 3: Add Data In Section 1 on the Data page, complete each column of the spreadsheet to arrive at the desired calculations. When you're ready, move on to the next step, where you will use functions to summarize the data. Step 4: Use Functions to Summarize the Data With this step complete, you’re ready to begin your analysis. Step 5: Analyze the Workforce You will be working in section 3 of the Data tab in the spreadsheet to complete the descriptive statistics for the five categories (Salary, Hourly Rate, Years of Service, Education, and Age). Using Excel formulas, complete the table. After you have used Excel formulas to find this information, you will next use the Toolpak to find your summary statistics. Step 6: Use the Analysis Toolpak you will now use the Analysis Toolpak to do those same functions. This is a handy feature to know. Remember that there may be some minor differences in the answers depending on the version. You should now have Tab 2 complete: Excel Summary Stats. Next, you’ll create charts and a histogram for Tabs 3 and 4 Step 7: Create Charts and a Histogram In this step, you will build Tab 3: Graphs—Charts and Tab 4: Histogram. After you complete these tabs, you’ll be ready to sort the data. Step 8: Copy and Sort the Data In this step, you will create Tab 5: Sorted Data. When you’re finished, you’ll be ready to conduct your quantitative analysis. Step 9: Conduct Quantitative Analysis Apply your quantitative reasoning skills to answer five questions that demonstrate your interpretation of the data. The questions are located on the QR Questions_Responses tab in your workbook. After you have answered the five questions, please finish the project by writing a short essay. Your short essay will include: a one-paragraph narrative summary of your findings, describing patterns of interest an explanation of the potential relevance of such patterns a description of how you would investigate further to determine if your results could be perceived as good or bad for the company. Prepare your responses in your workbook on the QR Questions_Responses tab. Step 10: Submit Your Completed Workbook and Analysis You’re now ready to submit your workbook and analysis for review and feedback. Review the requirements for the final deliverable to be sure you have: Excel Workbook with Six Tabs Tab 1: Data – completed data sheet (Steps 1–6 above) Tab 2: Excel Summary Stats (Step 6) Tab 3: Graphs – Charts (Step 7) Tab 4: Histogram (Step 7) Tab 5: Sorted Data (Step 8) Quantitative Analysis (Step 9; see detail below and move to first position upon completion.) Quantitative Analysis: Answers to Questions and Short Essay Prepare your response in this workbook. Create a tab for Quantitative Analysis, create a text box, and paste your answers to the questions in it. Move the Quantitative Analysis tab to the first tab position. Your final workbook tabs: Quantitative Analysis Data Excel Summary Stats Graphs–Charts Histogram Sorted Data Format to Be Printed Format this workbook so that all the spreadsheets can be printed.
University of Phoenix Chapter 7 Coronavirus and Americas Economy Article HW
Research an article on a current event that centers on a controversial issue where the two sides are claiming opposing vie ...
University of Phoenix Chapter 7 Coronavirus and Americas Economy Article HW
Research an article on a current event that centers on a controversial issue where the two sides are claiming opposing views. Then, describe how you would analyze the situation to settle the issue if you were involved in this event. For example, if the article was about whether a proposed new law about gun control will reduce deaths, you may describe how you would use hypothesis testing to compare data from states where such laws exist. Or, if the article was about actions to take to reduce gas prices, you could talk about how you would use regression to figure out which factors affected prices at the pump the most. General discussions like “should marijuana be legal” or “do vaccines cause autism” are not appropriate. Pick a current and specific debate.Please note that this discussion should be limited to how statistical analysis can be applied to current issues. This is not the place to champion a particular position on the issue you are discussing or get into an argument about the various sides of an issue. Remember, you are here to analyze, not proselytize.Also note that the article you are citing must be discussing the opposing views on the issue. Do not introduce your own perspective on what is being disputed. For example if the article is about the new budget being passed but does not discuss any conflicts of opinion, it doesn’t qualify.Please use the template below in your answers so everyone can easily follow your answers to all the questions (copy and paste to your post).Use this template for your Unit 6 Discussion.Summary of the articleBriefly describe the current event described in the article.Central questionWhat does the article say about the issue being disputed? What are the conflicting points of view according to the article? Use direct quotes from the article to summarize the dispute and the opposing sides.There has to be some specific issue in dispute at the center (do tax breaks increase spending, what impacts health care costs the most, etc.), and the sides have to be defending a particular position.Do not use examples where the issue is based on opinions or morality. For example, “Should abortion be legal?” is largely a morality question and is not suitable for statistical analysis. Conducting a survey to ask people about their opinions is not the same as analyzing data and making conclusions- you still only have opinions.MethodologyExplain which methodology you will apply. Provide the relevant details. Where will your data come from? How will the results from this methodology answer the question you described above?If you are going to use forecasting, explain how you will do that (which methodology and why) and how you will measure your accuracy. How will the forecast settle the issue?If you do a regression analysis, explain what the dependent and independent variables will be.If you will do hypothesis testing, what will the null and alternative hypothesis be?
7 pages
M6 Homework 1
This module’s homework problems will cover the following topics: Part 1: Review Questions from Chapters 12 and 13. (Plea ...
M6 Homework 1
This module’s homework problems will cover the following topics: Part 1: Review Questions from Chapters 12 and 13. (Please highlight your answers.)
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