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[{"left":"Scenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company\n\n
","right":"http://assignment.store/scenario-upon-successful-completion-of-the-mba-program-say-you-work-in-the-analytics-department-for-a-consulting-company/\n\nThe 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.\n\nAssignment Steps\n\nResources: Microsoft Excel®, Signature Assignment Databases, Signature Assignment Options, Part 3: Inferential Statistics\n\nScenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company\n\nSelect one of the databases based on the information in the Signature Assignment Options.\n\nProvide a 1,600-word detailed, statistical report including the following:\n\nExplain the context of the case\n\nProvide a research foundation for the topic\n\nPresent graphs\n\nExplain outliers\n\nPrepare calculations\n\nConduct hypotheses tests\n\nDiscuss inferences you have made from the results\n\nThis assignment is broken down into four parts:\n\nPart 1 - Preliminary Analysis\n\nPart 2 - Examination of Descriptive Statistics\n\nPart 3 - Examination of Inferential Statistics\n\nPart 4 - Conclusion/Recommendations\n\nPart 1 – Preliminary Analysis (3 – 4 paragraphs)\n\nGenerally, 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\n\nState the objective.\n\nWhat are the questions you are trying to address?\n\nClearly and in sufficient detail, describe the population in the study.\n\nWhat is the sample?\n\nDiscuss the types of data and variables. Are the data quantitative or qualitative?\n\nWhat are levels of measurement for the data?\n\nPart 2 – Descriptive Statistics (3 – 4 paragraphs)\n\nExamine the given data.\n\nPresent the descriptive statistics (mean, median, mode, range, standard deviation, variance, CV, and five-number summary).\n\nIdentify any outliers in the data.\n\nPresent any graphs or charts you think are appropriate for the data.\n\nNote: Ideally, we want to assess the conditions of normality too. However, for the purpose of this exercise, assume data is drawn from normal populations.\n\nPart 3 – Inferential Statistics (2 – 3 paragraphs)\n\nUse the Part 3: Inferential Statistics document.\n\nCreate (formulate) hypotheses\n\nRun formal hypothesis tests\n\nMake decisions. Your decisions should be stated in non-technical terms.\n\nHint: 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.\n\nPart 4 – Conclusion and Recommendations (1 – 2 paragraphs)\n\nWhat are your conclusions?\n\nWhat do you infer from the statistical analysis?\n\nState the interpretations in non-technical terms. What information might lead to a different conclusion?\n\nAre there any variables missing?\n\nWhat additional information would be valuable to help draw a more certain conclusion?"},{"left":"","right":""},{"left":"","right":""},{"left":"","right":""}]
Scenario: Upon successful completion of the MBA program, say you work in the analytics department for a consulting company
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Harry Smith
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