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Analyzing ANOVA Test Data. 2023 Best

Analyzing ANOVA Test Data.

This assignment involves analyzing ANOVA Test Data. Scenario: You are in charge of conducting an analysis for your organization to determine if there is a difference in product sales between the day shift, the night shift, and the weekend shift.

Analyzing ANOVA Test Data.

Assignment Content You are in charge of conducting an analysis for your organization to determine if there is a difference in product sales between the day shift, the night shift, and the weekend shift. Your coworker has already collected the data and they are ready for you to analyze. Review the data your coworker collected in the Analysis of ANOVA Test Data Spreadsheet. First, plan your analysis. Second, conduct your analysis. Third, describe your analysis. Create a 3 slide Microsoft® PowerPoint® presentation and include speaker notes. Include the following elements in your presentation.

Analyzing ANOVA Test Data.

Part 1: Planning What are the null and alternative hypotheses? Where did you obtain your data or who obtained it for you? Part 2: Analysis What are the descriptive statistics for your sample? Include: Sample size Mean Median Mode Standard deviation Analysis procedures: What did you do to conduct your analysis? Part 3: Results and Discussion What are the test statistics and results? Include f statistic p-value What are the results? Are the results inferable to the population? Do you reject or fail to reject the null hypothesis? Explain. What do the results mean? What is your recommendation to the organization? Submit your assignment.https://youtu.be/CUKLgzROMu4

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Quantitative methods Paper 2022 Best

Quantitative methods Paper

Quantitative methods Paper details: Summary of project: You will be an analyst and obtain data (your choice) and provide a description of the data, along with a chart or graph.

Quantitative methods Paper

Quantitative methods Paper details: Summary of project: You will be an analyst and obtain data (your choice) and provide a description of the data, along with a chart or graph. Your final project should reflect a project you are sending to your boss or presenting in a meeting. Compile data: The data set you will use for this project is your choice. This is an opportunity for you to research something that interests you. You must cite your data source. Use a workable size data set. You may need to take a snapshot of your data for this class as you will want to use between 30 and 50 data points in your analysis.

Quantitative methods Paper

Format of the project: This will be in memo form. Once you are completed with your memo, have someone proofread it to catch misspelled words or grammatical errors. It is a good habit to find a proofreader of all your work. The idea behind the memo is to discuss what you are seeing with your dataset. There is no need to reference a saying from another article, unless deemed necessary to support your overall purpose. The memo should follow in a logical form – discuss the overall purpose, use the data description and chart to help support your overall purpose.

Quantitative methods Paper

Your conclusion should tie it all together – discussing what the data is saying with respect to the overall purpose. Your proofreader should be able to understand what message you are trying to convey. You will turn in the memo (in Word) and the Excel spreadsheet with your supporting work. The Excel spreadsheet should be well-labeled to make an easy reference. It is mandatory to turn in the Excel spreadsheet. Form of the memo and required elements: 1. Introduction: To: From: Date: Subject: 2. General: One paragraph about the overall purpose of the analysis 3. Methodology: a. Data Description – provide at least one paragraph describing your data.

Quantitative methods Paper

Note where the data originated, how it was compiled, and the age of the data. Also point out 1-2 statistics (mean, median, standard deviation, etc..) that seem to describe the data the best. b. Chart – that helps describe your data set. (You can insert the chart in the Word document or reference a chart in an Excel spreadsheet). Provide a chart that describes the data. (scatterplot, line graph, etc.) to add insight. The chart should be created using your data. Charts from websites will not be accepted. c. Comment on any trends, if any, that you see in the chart along with the descriptive statistics.

Quantitative methods Paper

4. Conclusion – (one paragraph) Discuss what the data is saying with respect to the overall purpose. Must tie together all points made in the body of the memo. ALL PROJECTS WILL BE RUN THROUGH A PLAGIARISM TRACKER. IF PLAGIARISM IS DETECTED, YOU WILL RECEIVE A 0 WITH NO OPPORTUNITY TO MAKE UP THE GRADE. There are many resources of data on the web. Make sure it is a reliable resource, so you are not downloading a virus. If needed, you can input the data by hand into Excel if you are unsure of the source. https://youtu.be/EUeQRE5UJpg

Quantitative methods Paper

A few are listed below. 1. data.gov – data sets on imports/aquaculture/USDA/EPA/education/employment/finance/business 2. wunderground.com or noaa.gov – weather data 3. stat.ufl.edu/~winner/datasets.html (may need to input data by hand) 4. census.gov 5. stock prices websites 6. your choice

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