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QNT561 Phoenix Wk 6 Applied Business Research & Statistics

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Week 6 – Final Exam QNT/561 https://www.sophia.org/tutorials/qnt-561-final-exam-30-questions-with-answers 1. When data is collected using a qualitative, nominal variable, what is true about a frequency distribution that summarizes the data? a) The upper and lower class limits must be calculated. b) The number of classes is equal to the number of variables plus 2. c) The “5 to the k rule” can be applied d) A pie chart can be used to summarize the data. 2. Monthly salaries of a sample of 100 employees were rounded to the nearest $10.00 ranged from $1,040 to $1,720. If we want to condense the data into seven classes, most convenient class interval? Answer: 1720-1040=680 680/7= 97.23456 = 100 a) $200 b) $50 c) $150 d) $100 3. Kroger, a grocery store chain, wants to identify the ideal store layout for increasing store sales. Because it primarily uses two store designs, one a grid layout with vertical aisles divided by a center aisle and another using a traditional straight-aisle pattern, Kroger will match pairs of stores that have different designs but similar shopper demographics and location. Sales from each pair will then be compared to determine if store design is related to sales. Which type of study is this an example of? a) Exploratory study b) Case study c) Ex post facto study d) Longitudinal study 4. BankChoice is concerned about stagnating profits and asks, "How can profitability be improved?" This is an example of a(n) _____. a) research question b) measurement ...
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Running a One-Way ANOVA

To prepare for this Assignment: Review the video, Analysis of Variance (ANOVA). Review the following tutorials from the ...

Running a One-Way ANOVA

To prepare for this Assignment: Review the video, Analysis of Variance (ANOVA). Review the following tutorials from the Green and Salkind text: oLesson 25, "One-Way Analysis of Variance" oLesson 26, "Two-Way Analysis of Variance" Submit a 5- to 6-page paper using the Assignment Exemplar. Your paper must include the following elements: An APA Results section for the one-way ANOVA test. (See an example of an APA Results section in Lesson 25, "One-Way Analysis of Variance" of the Green and Salkind text on pages 136-137.) The critical elements of your SPSS output, including: oA properly formatted research question oA properly formatted H10 (null) and H1a (alternate) hypothesis oA descriptive statistics narrative and properly formatted descriptive statistics table (see page 134 of the Green and Salkind text) oA properly formatted box plot (see page 136 of the Green and Salkind text) oA properly formatted inferential APA Results Section (see pages 135-136 of the Green and Salkind text). oAn appendix including the SPSS output generated for descriptive and inferential statistics (see SPSS output on page 134 [one-way ANOVA] and page 135 [post hoc results] of the Green and Salkind text) Finally, explain how you would extend the one-way ANOVA to a two-way ANOVA using the variables in the IT Security Dataset. The page should have the following criteria’s. Complete Student submits a 5- to 6-page paper presenting the results of running a one-way ANOVA test. Research Question Presents a properly formatted research question. Hypothesis Presents a properly formatted null and alternate hypothesis. Descriptive Statistics Presents a descriptive statistics narrative and properly formatted descriptive statistics table. Box Plot Student presents a properly formatted box plot. Results Section Student presents a properly formatted inferential APA Results Section. Appendix Student presents an appendix including the SPSS output generated for descriptive inferential statistics. Extension Student explains how they would extend the one-way ANOVA to a two-way ANOVA using the variables in the IT Security Dataset.

STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet

CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.Instr ...

STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet

CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobIn prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet. Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.

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Running a One-Way ANOVA

To prepare for this Assignment: Review the video, Analysis of Variance (ANOVA). Review the following tutorials from the ...

Running a One-Way ANOVA

To prepare for this Assignment: Review the video, Analysis of Variance (ANOVA). Review the following tutorials from the Green and Salkind text: oLesson 25, "One-Way Analysis of Variance" oLesson 26, "Two-Way Analysis of Variance" Submit a 5- to 6-page paper using the Assignment Exemplar. Your paper must include the following elements: An APA Results section for the one-way ANOVA test. (See an example of an APA Results section in Lesson 25, "One-Way Analysis of Variance" of the Green and Salkind text on pages 136-137.) The critical elements of your SPSS output, including: oA properly formatted research question oA properly formatted H10 (null) and H1a (alternate) hypothesis oA descriptive statistics narrative and properly formatted descriptive statistics table (see page 134 of the Green and Salkind text) oA properly formatted box plot (see page 136 of the Green and Salkind text) oA properly formatted inferential APA Results Section (see pages 135-136 of the Green and Salkind text). oAn appendix including the SPSS output generated for descriptive and inferential statistics (see SPSS output on page 134 [one-way ANOVA] and page 135 [post hoc results] of the Green and Salkind text) Finally, explain how you would extend the one-way ANOVA to a two-way ANOVA using the variables in the IT Security Dataset. The page should have the following criteria’s. Complete Student submits a 5- to 6-page paper presenting the results of running a one-way ANOVA test. Research Question Presents a properly formatted research question. Hypothesis Presents a properly formatted null and alternate hypothesis. Descriptive Statistics Presents a descriptive statistics narrative and properly formatted descriptive statistics table. Box Plot Student presents a properly formatted box plot. Results Section Student presents a properly formatted inferential APA Results Section. Appendix Student presents an appendix including the SPSS output generated for descriptive inferential statistics. Extension Student explains how they would extend the one-way ANOVA to a two-way ANOVA using the variables in the IT Security Dataset.

STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet

CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.Instr ...

STA 3215 RC Inferential Statistics Analytics Hypothesis Tests Excel Worksheet

CompetencyGiven a real-life application, develop a hypothesis test for a population parameter and its interpretation.InstructionsScenario (information repeated for deliverable 01, 03, and 04)A major client of your company is interested in the salary distributions of jobs in the state of Minnesota that range from $30,000 to $200,000 per year. As a Business Analyst, your boss asks you to research and analyze the salary distributions. You are given a spreadsheet that contains the following information:A listing of the jobs by titleThe salary (in dollars) for each jobIn prior engagements, you have already explained to your client about the basic statistics and discussed the importance of constructing confidence intervals for the population mean. Your client says that he remembers a little bit about hypothesis testing, but he is a little fuzzy. He asks you to give him the full explanation of all steps in a hypothesis testing and wants your conclusion about a claim that the average salary for all jobs in the state of Minnesota is less than $75,000.Background information on the DataThe data set in the spreadsheet consists of 364 records that you will be analyzing from the Bureau of Labor Statistics. The data set contains a listing of several jobs titles with yearly salaries ranging from approximately $30,000 to $200,000 for the state of Minnesota.What to SubmitYour boss wants you to submit the spreadsheet with the completed calculations. Your research and analysis should be present within the answers provided on the worksheet. Grading RubricFFCBA01234Not SubmittedNo PassCompetenceProficiencyMasteryNot SubmittedDid not correctly solve a majority of the problems or at least one problem left blank.Correctly solved a majority of the problems.Correctly solved almost all the problems.All problems are solved correctly.Not SubmittedVery few steps are provided to explain how to solve the problem OR the steps provided have several errors.Fairly complete and detailed steps are provided to explain how to solve the problem OR the steps provided have some errors.Mostly complete and detailed steps are provided to explain how to solve the problem.Complete and detailed steps are provided to explain how to solve the problem.Not SubmittedExplanations generally lack a basic understanding of the statistical concepts or lack of proper terminology.Explanations demonstrate a basic understanding of most of the statistical concepts and terminology, but some explanations may be incomplete or incorrect.Explanations demonstrate a proficient understanding of most of the statistical concepts and terminology, but with small errors.Explanations demonstrate a mastery of understanding of the statistical concepts and terminology.Not SubmittedThe majority of variables, equations, and expressions are not properly formatted.The majority of variables, equations, and expressions are properly formatted.Almost all variables, equations, and expressions are properly formatted.All variables, equations, and expressions are properly formatted.

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1. Do the data meet criteria for homogeneity of variance? Provide a rationale for your answer. Yes, the data met criteria ...

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