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The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db; which is to say, this may ...
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db; which is to say, this may not be true. A simple random sample of 81 hospitals at a moment during the day gives a mean noise level of 47 db. Assume that the standard deviation of noise level is really 10 db. All answers to two places after the decimal.1. Assuming our sample of hospitals is among the most typical half of such samples, the actual mean noise level in hospitals is between _____ db and _____ db.
Cuyamaca Descriptive Statistics Two Way Tables & Percentages Final Project
Question 1 – Descriptive Statistics Describe the distribution of credit card debt separated by gender using concepts fr ...
Cuyamaca Descriptive Statistics Two Way Tables & Percentages Final Project
Question 1 – Descriptive Statistics Describe the distribution of credit card debt separated by gender using concepts from Unit 2 (Modules 4-7).Make an appropriate graph and provide appropriate numerical summaries. 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 response. Do the data suggest that males or females are more likely to have higher credit card debt?Use the data to support your answer. Question 2 – Two-Way Tables & Percentages Use StatCrunch to produce a two-way contingency table as we did in Unit 3 (Module 8).Use the row variable “gender” and column variable “class”.Analyze the data in your two-way table by finding appropriate percentages for each bullet point below. Write each conditional percentage as a ratio (e.g. 25 out of 40) and as a percentage (e.g. 25/40 = 62.5%). What percentage of students are females?What percentage of students are males and seniors?What percentage of female students are sophomores?What percentage of first-year students are male? Copy the table in your StatCrunch output window and paste it in your response. After you paste the content of your StatCrunch output window into your discussion post, keep the table titled Contingency table results and delete the Chi-Square results table. Question 3 – Confidence Intervals Of the students randomly chosen for your data set, find the percent of students that do not work any amount. Use the percentage in part a) to create a 95% confidence interval estimate for the percentage of all college students who do not work. (see concepts in Units 6 & 7 – Modules 14-19)Show your work. You can either use the math-type feature in Canvas to write out your steps or you can take a picture and upload handwritten work.Interpret your confidence interval in complete sentences. “We are 95% confident that…”What is the margin of error for the confidence interval you found?What could you do to make the confidence interval more precise/smaller?Explain using complete sentences. Question 4 – Hypothesis Tests Based on a recent study of college students, the average student loan debt amount is $4000. Is the mean student loan debt higher at StatCrunchU? Include each of the following in your response. (see concepts in Units 7 & 8 – Modules 17-23)State your hypotheses in symbolic form and in words.Verify that normality conditions are met. Which test are you using? Why?Use StatCrunch to conduct the hypothesis test. Copy and paste the results (the StatCrunch output window) into your response.Give your P-value and interpret its meaning.State a conclusion that answers the research question. Use a significance level of 5%. this is the Data sethttps://www.statcrunch.com/app/index.php?launch=st...
Level of Confidence as Criteria for Significant Predictors Executive Summary
A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of ...
Level of Confidence as Criteria for Significant Predictors Executive Summary
A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends. You work for Mercer Human Resources. The Mercer Human Resource Consulting website (www.mercer.com) lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.https://mobilityexchange.mercer.com/Insights/cost-of-living-rankings#rankingsIn the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. What is an Executive Summary?Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment.To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city/cities has the best potential? What city or cities fall above or below the median and/or the mean? What city or cities are in the upper 3rd quartile? Or the bottom quartile? These are some things to consider not necessarily questions you need to answer in your Executive Summary. But they are questions to help guide you along in your analysis.Supporting documents:https://edge.apus.edu/access/content/attachment/424212/Assignments/11adcab4-fb2a-41cf-84ac-72e0695762eb/Math%20302%20Final%20Project.xlsx
BUS7200 Setting up T Test and P Values Null Hypothesis Project
Imagine that you are studying automobile buyers who choose to replace their current car near the end of its expected lifet ...
BUS7200 Setting up T Test and P Values Null Hypothesis Project
Imagine that you are studying automobile buyers who choose to replace their current car near the end of its expected lifetime. Specifically, you are interested in how many different dealers late purchasers visit.Let µ be the mean number of dealers visited by all late replacement buyers. A random sample of 100 late replacement buyers yields a mean and standard deviation of the number of dealers visited of x¯ = 4.32 and s = 0.67.The test statistic and the corresponding p-values are listed below: Test Statistic p value 4.78 < 0.0001Tasks:Set up null and alternative hypotheses needed if we wish to attempt to provide evidence that µ differs from 4 dealers.Identify the test you will apply to test the hypothesis. Justify your choice.Choose an appropriate level of significance.Define type I and II errors in the context of your hypotheses.State your decision regarding the hypothesis.State the conclusion.Submission Details:Submit a Microsoft Word document that contains your responses to assignment questions, using APA style.Name your document SU_BUS7200_W1_ LastName_FirstInitial.docSubmit your document to the Submissions Area by the due date assigned.****Please no plagarism.
12 pages
Youtlastname Final Answers
Use the space provided below each question to add/type your responses to the question. Where requested, you are to insert ...
Youtlastname Final Answers
Use the space provided below each question to add/type your responses to the question. Where requested, you are to insert output from SPSS directly to ...
CSCI 4116 Dalhousie University Method of the Euclidean Algorithm Questions
Please refer to the note file provided and answer all the assignment 7 all questions. Please provide clear answer with fom ...
CSCI 4116 Dalhousie University Method of the Euclidean Algorithm Questions
Please refer to the note file provided and answer all the assignment 7 all questions. Please provide clear answer with fomular and explanation for each steps. MUST BE CLEAR WITH STEPS!
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The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db; which is to say, this may ...
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db
The ideal (daytime) noise-level for hospitals is 45 decibels with a standard deviation of 10 db; which is to say, this may not be true. A simple random sample of 81 hospitals at a moment during the day gives a mean noise level of 47 db. Assume that the standard deviation of noise level is really 10 db. All answers to two places after the decimal.1. Assuming our sample of hospitals is among the most typical half of such samples, the actual mean noise level in hospitals is between _____ db and _____ db.
Cuyamaca Descriptive Statistics Two Way Tables & Percentages Final Project
Question 1 – Descriptive Statistics Describe the distribution of credit card debt separated by gender using concepts fr ...
Cuyamaca Descriptive Statistics Two Way Tables & Percentages Final Project
Question 1 – Descriptive Statistics Describe the distribution of credit card debt separated by gender using concepts from Unit 2 (Modules 4-7).Make an appropriate graph and provide appropriate numerical summaries. 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 response. Do the data suggest that males or females are more likely to have higher credit card debt?Use the data to support your answer. Question 2 – Two-Way Tables & Percentages Use StatCrunch to produce a two-way contingency table as we did in Unit 3 (Module 8).Use the row variable “gender” and column variable “class”.Analyze the data in your two-way table by finding appropriate percentages for each bullet point below. Write each conditional percentage as a ratio (e.g. 25 out of 40) and as a percentage (e.g. 25/40 = 62.5%). What percentage of students are females?What percentage of students are males and seniors?What percentage of female students are sophomores?What percentage of first-year students are male? Copy the table in your StatCrunch output window and paste it in your response. After you paste the content of your StatCrunch output window into your discussion post, keep the table titled Contingency table results and delete the Chi-Square results table. Question 3 – Confidence Intervals Of the students randomly chosen for your data set, find the percent of students that do not work any amount. Use the percentage in part a) to create a 95% confidence interval estimate for the percentage of all college students who do not work. (see concepts in Units 6 & 7 – Modules 14-19)Show your work. You can either use the math-type feature in Canvas to write out your steps or you can take a picture and upload handwritten work.Interpret your confidence interval in complete sentences. “We are 95% confident that…”What is the margin of error for the confidence interval you found?What could you do to make the confidence interval more precise/smaller?Explain using complete sentences. Question 4 – Hypothesis Tests Based on a recent study of college students, the average student loan debt amount is $4000. Is the mean student loan debt higher at StatCrunchU? Include each of the following in your response. (see concepts in Units 7 & 8 – Modules 17-23)State your hypotheses in symbolic form and in words.Verify that normality conditions are met. Which test are you using? Why?Use StatCrunch to conduct the hypothesis test. Copy and paste the results (the StatCrunch output window) into your response.Give your P-value and interpret its meaning.State a conclusion that answers the research question. Use a significance level of 5%. this is the Data sethttps://www.statcrunch.com/app/index.php?launch=st...
Level of Confidence as Criteria for Significant Predictors Executive Summary
A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of ...
Level of Confidence as Criteria for Significant Predictors Executive Summary
A marketing company based out of New York City is doing well and is looking to expand internationally. The CEO and VP of Operations decide to enlist the help of a consulting firm that you work for, to help collect data and analyze market trends. You work for Mercer Human Resources. The Mercer Human Resource Consulting website (www.mercer.com) lists prices of certain items in selected cities around the world. They also report an overall cost-of-living index for each city compared to the costs of hundreds of items in New York City (NYC). For example, London at 88.33 is 11.67% less expensive than NYC.More specifically, if you choose to explore the website further you will find a lot of fun and interesting data. You can explore the website more on your own after the course concludes.https://mobilityexchange.mercer.com/Insights/cost-of-living-rankings#rankingsIn the Excel document, you will find the 2018 data for 17 cities in the data set Cost of Living. Included are the 2018 cost of living index, cost of a 3-bedroom apartment (per month), price of monthly transportation pass, price of a mid-range bottle of wine, price of a loaf of bread (1 lb.), the price of a gallon of milk and price for a 12 oz. cup of black coffee. All prices are in U.S. dollars.You use this information to run a Multiple Linear Regression to predict Cost of living, along with calculating various descriptive statistics. This is given in the Excel output (that is, the MLR has already been calculated. Your task is to interpret the data). Based on this information, in which city should you open a second office in? You must justify your answer. If you want to recommend 2 or 3 different cities and rank them based on the data and your findings, this is fine as well. This should be ¾ to 1 page, no more than 1 single-spaced page in length, using 12-point Times New Roman font. You do not need to do any calculations, but you do need to pick a city to open a second location at and justify your answer based upon the provided results of the Multiple Linear Regression. What is an Executive Summary?Think of this assignment as the first page of a much longer report, known as an Executive Summary, that essentially summarizes your findings briefly and at a high level. This needs to be written up neatly and professionally. This would be something you would present at a board meeting in a corporate environment.To help you make this decision here are some things to consider:Based on the MLR output, what variable(s) is/are significant? From the significant predictors, review the mean, median, min, max, Q1 and Q3 values? It might be a good idea to compare these values to what the New York value is for that variable. Remember New York is the baseline as that is where headquarters are located.Based on the descriptive statistics, for the significant predictors, what city/cities has the best potential? What city or cities fall above or below the median and/or the mean? What city or cities are in the upper 3rd quartile? Or the bottom quartile? These are some things to consider not necessarily questions you need to answer in your Executive Summary. But they are questions to help guide you along in your analysis.Supporting documents:https://edge.apus.edu/access/content/attachment/424212/Assignments/11adcab4-fb2a-41cf-84ac-72e0695762eb/Math%20302%20Final%20Project.xlsx
BUS7200 Setting up T Test and P Values Null Hypothesis Project
Imagine that you are studying automobile buyers who choose to replace their current car near the end of its expected lifet ...
BUS7200 Setting up T Test and P Values Null Hypothesis Project
Imagine that you are studying automobile buyers who choose to replace their current car near the end of its expected lifetime. Specifically, you are interested in how many different dealers late purchasers visit.Let µ be the mean number of dealers visited by all late replacement buyers. A random sample of 100 late replacement buyers yields a mean and standard deviation of the number of dealers visited of x¯ = 4.32 and s = 0.67.The test statistic and the corresponding p-values are listed below: Test Statistic p value 4.78 < 0.0001Tasks:Set up null and alternative hypotheses needed if we wish to attempt to provide evidence that µ differs from 4 dealers.Identify the test you will apply to test the hypothesis. Justify your choice.Choose an appropriate level of significance.Define type I and II errors in the context of your hypotheses.State your decision regarding the hypothesis.State the conclusion.Submission Details:Submit a Microsoft Word document that contains your responses to assignment questions, using APA style.Name your document SU_BUS7200_W1_ LastName_FirstInitial.docSubmit your document to the Submissions Area by the due date assigned.****Please no plagarism.
12 pages
Youtlastname Final Answers
Use the space provided below each question to add/type your responses to the question. Where requested, you are to insert ...
Youtlastname Final Answers
Use the space provided below each question to add/type your responses to the question. Where requested, you are to insert output from SPSS directly to ...
CSCI 4116 Dalhousie University Method of the Euclidean Algorithm Questions
Please refer to the note file provided and answer all the assignment 7 all questions. Please provide clear answer with fom ...
CSCI 4116 Dalhousie University Method of the Euclidean Algorithm Questions
Please refer to the note file provided and answer all the assignment 7 all questions. Please provide clear answer with fomular and explanation for each steps. MUST BE CLEAR WITH STEPS!
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