The following problem refers to strings in A, B, ..., Z.
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About Your Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outco ...
About Your Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.Purpose of Assignment The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report. Assignment Steps Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential StatisticsScenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:ManufacturingHospitalConsumer FoodFinancial Select one of the databases based on the information in the Signature Assignment Options. Provide a 1,600-word detailed, statistical report including the following:Explain the context of the caseProvide a research foundation for the topicPresent graphsExplain outliersPrepare calculationsConduct hypotheses testsDiscuss inferences you have made from the results This assignment is broken down into four parts:Part 1 - Preliminary AnalysisPart 2 - Examination of Descriptive StatisticsPart 3 - Examination of Inferential StatisticsPart 4 - Conclusion/Recommendations Part 1 - Preliminary Analysis (3-4 paragraphs)Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.State the objective:What are the questions you are trying to address?Describe the population in the study clearly and in sufficient detail:What is the sample?Discuss the types of data and variables:Are the data quantitative or qualitative?What are levels of measurement for the data? Part 2 - Descriptive Statistics (3-4 paragraphs) Examine the given data.Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).Identify any outliers in the data.Present any graphs or charts you think are appropriate for the data.Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations. Part 3 - Inferential Statistics (2-3 paragraphs)Use the Part 3: Inferential Statistics document.Create (formulate) hypothesesRun formal hypothesis testsMake decisions. Your decisions should be stated in non-technical terms.Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient. Part 4 - Conclusion and Recommendations (1-2 paragraphs)Include the following:What are your conclusions?What do you infer from the statistical analysis?State the interpretations in non-technical terms. What information might lead to a different conclusion?Are there any variables missing?What additional information would be valuable to help draw a more certain conclusion?
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You Volunteer Some Of Your Spare Time To Your Local Fire Department And Have Been Asked By An Assistant Chief To Analyze Data On Firefighters Who Applied For Promotion
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze d ...
You Volunteer Some Of Your Spare Time To Your Local Fire Department And Have Been Asked By An Assistant Chief To Analyze Data On Firefighters Who Applied For Promotion
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze data on firefighters who ...
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Context - A Real Court CaseIn the early 1970s, a young man challenged an Oklahoma state law that prohibited the sale of 3. ...
Grossmont Critical Flicker Frequency and Eye Color Worksheet
Context - A Real Court CaseIn the early 1970s, a young man challenged an Oklahoma state law that prohibited the sale of 3.2% beer to males under age 21 but allowed its sale to females in the same age group. The case (Craig v. Boren, 429 U.S. 190, 1976) was ultimately heard by the U.S. Supreme Court. The state of Oklahoma argued that the law improved traffic safety. One of the three main pieces of data presented to the court was the result of a “random roadside survey.” This survey gathered information on gender and whether or not the driver had been drinking alcohol in the previous 2 hours. A total of 619 drivers under 21 years of age were included in the survey.PromptA test of independence may be appropriate if we are examining the relationship between two categorical variables in one population. For this situation what is the population? What is the explanatory variable? What is the response variable?What are the hypotheses for the Test of Independence? State hypotheses with reference to the context of the scenario.The spreadsheet of the data looked like this:
Roadside survey dataDriverGenderAlcohol in lasttwo hours?Driver 1MYesDriver 2FNoDriver 3FYes.........Driver 619MNo We will not use the raw data. Instead we will use the summarized data shown in the table below.
Roadside survey summaryDrank alcohol in last 2 hours?YesNoTotals Male77404481 Female16122138 Totals93526619Use StatCrunch to find expected counts, the Chi-square test statistic and the P-value. (directions) Copy and paste your StatCrunch table into your post. How many males in the sample are expected to answer yes to question about alcohol consumption in the last two hours? Show how to calculate this expected count and explain what it means relative to the hypotheses.Explain how we know that this data meets the conditions for use of a chi-square distribution.State a conclusion at a 5% level of significance. Do you think that the data supports the Oklahoma law that forbids sale of 3.2% beer to males and permits it to females?
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Most Popular Content
3 pages
Questions Hw 1
1:Your CEO has heard that a one of the advantages of a BigData database platform is that it can handle a lot of work very ...
Questions Hw 1
1:Your CEO has heard that a one of the advantages of a BigData database platform is that it can handle a lot of work very quickly due to the feature ...
10 pages
Making A World A Better Place
As you can see the quantity of plastic pieces And now I want to introduce it to you. We are not a regular charity that is ...
Making A World A Better Place
As you can see the quantity of plastic pieces And now I want to introduce it to you. We are not a regular charity that is asking
4 pages
Mat 200 Project
(a). How would you investigate the complaints from renters who are unhappy about their I would observe the rent of all the ...
Mat 200 Project
(a). How would you investigate the complaints from renters who are unhappy about their I would observe the rent of all the renters through the ...
About Your Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outco ...
About Your Signature Assignment
About Your Signature AssignmentThis signature assignment is designed to align with specific program student learning outcome(s) in your program. Program Student Learning Outcomes are broad statements that describe what students should know and be able to do upon completion of their degree. The signature assignments might be graded with an automated rubric that allows the University to collect data that can be aggregated across a location or college/school and used for program improvements.Purpose of Assignment The purpose of this assignment is for students to synthesize the concepts learned throughout the course. This assignment will provide students an opportunity to build critical thinking skills, develop businesses and organizations, and solve problems requiring data by compiling all pertinent information into one report. Assignment Steps Resources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential StatisticsScenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company. Your assignment is to analyze one of the following databases:ManufacturingHospitalConsumer FoodFinancial Select one of the databases based on the information in the Signature Assignment Options. Provide a 1,600-word detailed, statistical report including the following:Explain the context of the caseProvide a research foundation for the topicPresent graphsExplain outliersPrepare calculationsConduct hypotheses testsDiscuss inferences you have made from the results This assignment is broken down into four parts:Part 1 - Preliminary AnalysisPart 2 - Examination of Descriptive StatisticsPart 3 - Examination of Inferential StatisticsPart 4 - Conclusion/Recommendations Part 1 - Preliminary Analysis (3-4 paragraphs)Generally, as a statistics consultant, you will be given a problem and data. At times, you may have to gather additional data. For this assignment, assume all the data is already gathered for you.State the objective:What are the questions you are trying to address?Describe the population in the study clearly and in sufficient detail:What is the sample?Discuss the types of data and variables:Are the data quantitative or qualitative?What are levels of measurement for the data? Part 2 - Descriptive Statistics (3-4 paragraphs) Examine the given data.Present the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).Identify any outliers in the data.Present any graphs or charts you think are appropriate for the data.Note: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations. Part 3 - Inferential Statistics (2-3 paragraphs)Use the Part 3: Inferential Statistics document.Create (formulate) hypothesesRun formal hypothesis testsMake decisions. Your decisions should be stated in non-technical terms.Hint: A final conclusion saying "reject the null hypothesis" by itself without explanation is basically worthless to those who hired you. Similarly, stating the conclusion is false or rejected is not sufficient. Part 4 - Conclusion and Recommendations (1-2 paragraphs)Include the following:What are your conclusions?What do you infer from the statistical analysis?State the interpretations in non-technical terms. What information might lead to a different conclusion?Are there any variables missing?What additional information would be valuable to help draw a more certain conclusion?
3 pages
You Volunteer Some Of Your Spare Time To Your Local Fire Department And Have Been Asked By An Assistant Chief To Analyze Data On Firefighters Who Applied For Promotion
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze d ...
You Volunteer Some Of Your Spare Time To Your Local Fire Department And Have Been Asked By An Assistant Chief To Analyze Data On Firefighters Who Applied For Promotion
You volunteer some of your spare time to your local fire department and have been asked by an assistant chief to analyze data on firefighters who ...
Grossmont Critical Flicker Frequency and Eye Color Worksheet
Context - A Real Court CaseIn the early 1970s, a young man challenged an Oklahoma state law that prohibited the sale of 3. ...
Grossmont Critical Flicker Frequency and Eye Color Worksheet
Context - A Real Court CaseIn the early 1970s, a young man challenged an Oklahoma state law that prohibited the sale of 3.2% beer to males under age 21 but allowed its sale to females in the same age group. The case (Craig v. Boren, 429 U.S. 190, 1976) was ultimately heard by the U.S. Supreme Court. The state of Oklahoma argued that the law improved traffic safety. One of the three main pieces of data presented to the court was the result of a “random roadside survey.” This survey gathered information on gender and whether or not the driver had been drinking alcohol in the previous 2 hours. A total of 619 drivers under 21 years of age were included in the survey.PromptA test of independence may be appropriate if we are examining the relationship between two categorical variables in one population. For this situation what is the population? What is the explanatory variable? What is the response variable?What are the hypotheses for the Test of Independence? State hypotheses with reference to the context of the scenario.The spreadsheet of the data looked like this:
Roadside survey dataDriverGenderAlcohol in lasttwo hours?Driver 1MYesDriver 2FNoDriver 3FYes.........Driver 619MNo We will not use the raw data. Instead we will use the summarized data shown in the table below.
Roadside survey summaryDrank alcohol in last 2 hours?YesNoTotals Male77404481 Female16122138 Totals93526619Use StatCrunch to find expected counts, the Chi-square test statistic and the P-value. (directions) Copy and paste your StatCrunch table into your post. How many males in the sample are expected to answer yes to question about alcohol consumption in the last two hours? Show how to calculate this expected count and explain what it means relative to the hypotheses.Explain how we know that this data meets the conditions for use of a chi-square distribution.State a conclusion at a 5% level of significance. Do you think that the data supports the Oklahoma law that forbids sale of 3.2% beer to males and permits it to females?
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