This week we talk about the uses of a crosstabulation (crosstabs) and the benefits of creating this "snapshot" of your data.For this forum, provide a brief introduction to your study to remind your classmates what we are reading about here. Include: 1. Your overall research question 2. The research hypothesis and null hypothesisNext, create a crosstab for your data and include it in the post. Be sure to explain your findings, including a description of the data, a calculation of the epsilons, and a discussion of the 10% rule. The epsilons in short are the differences between the highest and lowest column % in any given row. As long as one epsilon makes the 10% threshold, we'll deem two variables have "enough" going on to with each other to warrant further statistical analysis.Special note:When a variable is continuous (interval/ratio level of measurement), for example, age of respondent, we do not run crosstabs directly b/c it will result in a really spread-out table with lot of 0s and low frequency cells. Such a crosstab does not help us understand the data.The correct way is to reduce the level of measurement to either ordinal level or nominal level (group the numbers into categories) and then run the cross table. You do this by recoding (as you demonstrated in Assignment 1). In this way, your crosstabs will help us better understand data. Here is another example of recoding in a video.******I will include attachments that show my research question and previous work (Donald_soci332_A1), variables of choice (satjob1 and happy), a zip file labeled (job and happiness) from gss. I have also attached how to documents that are strictly examples.

Using an Excel spreadsheet, calculate the bottom line improvement using the base line below under these scenarios:Increase sales by 50%Reduce finance costs by 50%, keeping sales at $100,000Reduce production costs by 20% (cost of goods sold), keeping sales and finance costs at the initial levelsWhat option offers the best overall result?Upload the Excel file with your calculations.Communicate with your instructor if you have difficulties.Base Line FinancialsItemBase LineSales$100,000Cost of goods sold$80,000Gross margin$20,000Finance costs$6,000Subtotal$14,000Taxes at 25%$3,500Contribution$ 10,500

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?Develop an PowerPoint executive summary (8-10 slides)regarding the information contained in your signature assignment narrative. Topics should follow and be consistent with those identified and discussed in the submitted narrative for your chosen analysis. Each section of the presentation (as identified in the narrative for the paper) is worth 4 points, with the overall organization, style of presentation, and visuals Format your assignment consistent with APA format.