Assessment 2 – Hypothesis Testing for Differences Between GroupsOverview Perform hypothesis testing on the differences between two groups and create an Excel document. Write a 2–3-page analysis of the results in a Word document and insert the results into this document.Note: You are strongly encouraged to complete the assessments in this course in the order they are presented. Hypothesis testing is a foundational statistical technique used to make decisions about a hypothesis. A hypothesis test compares two mutually exclusive statements (null hypothesis, alternative hypothesis) where only one is true. Hypothesis testing can determine statistical significance by examining the probability that a given result would occur under the null hypothesis. For this assessment, you will perform hypothesis testing on the differences between two groups.By successfully completing this assessment, you will demonstrate your proficiency in the following course competencies and assessment criteria:Competency 1: Plan for data collection, measurement, and analysis.Generate a hypothesis about the difference between two groups in a dataset.Identify the appropriate statistical test in a dataset.Competency 2: Analyze data using computer-based programming and software.Performs appropriate statistical test of the difference between two groups in a dataset.Competency 3: Interpret results of data analysis for value-based health care decisions, policy, or practice.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.Competency 5: Communicate audience-appropriate health management content in a logically structured and concise manner, writing clearly with correct use of grammar, punctuation, spelling, and APA style.Write clearly and concisely, using correct grammar, mechanics, and APA formatting.Resources Statistical SignificanceFrey, B. B. (Ed.). (2018). Significance. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Gallo, A. (2016, February 16). A refresher on statistical significance. Harvard Business Review Digital Articles, 2–9.Simpson, S. H. (2015). Creating a data analysis plan: What to consider when choosing statistics for a study. Canadian Journal of Hospital Pharmacy, 68(4), 311–317. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45522...Hypothesis TestingFrey, B. B. (Ed.). (2018). Hypothesis testing. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Hypothesis Tester.Real Statistics Using Excel. (n.d.). Null and alternative hypothesis. Retrieved from http://www.real-statistics.com/hypothesis-testing/...Elliott. E. C. (n.d.). Understanding statistical hypothesis testing. Retrieved from https://www.stattutorials.com/understanding-hypoth...Gonzalez-Chica, D. A., Bastos, J. L., Duquia, R. P., Bonamigo, R. R., & Martínez-Mesa, J. (2015). Test of association: Which one is the most appropriate for my study? Anais brasileiros de dermatología, 90(4), 523–528. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC45605...Quantitative Skills Center: Interpreting Statistical Data.p ValueFrey, B. B. (Ed.). (2018). p value. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage.Elliott, E. C. (n.d.). Interpreting statistical p-values. Retrieved from https://www.stattutorials.com/p-value-interpreting...Interpreting Results Evaluation of Analytic Results.Interpreting Results of Inferential Techniques.Matching Statistical Tests to Hypotheses.Significance TestsOrr-Depner, R. (n.d.). Learning about 2-sample t-tests with Guitar Hero | Transcript. Retrieved from https://www.sophia.org/tutorials/learning-about-2-...Scheer, A. (n.d.). The basics of significance tests | Transcript. Retrieved from https://www.sophia.org/tutorials/sec-91-the-basics...StatisticsLectures.com. (n.d.). Statistical vs practical significance. Retrieved from http://www.statisticslectures.com/topics/statistic...Tutorials for Statistical Data Analysis. (n.d.). Two sample (independent group) t-test using Mcrosoft Excel. Retrieved from https://www.stattutorials.com/EXCEL/EXCEL_TTEST1.h...TextbookKros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd. ed.). San Francisco, CA: Jossey-Bass. Available in the courseroom via the VitalSource Bookshelf link.Preparation Download the Assessment 2 Dataset [XLSX]. The dataset contains the following variables:clinic1 (total number of visits per month for clinic 1) .clinic2 (total number of visits per month for clinic 2).InstructionsAn investor needs to make a decision on whether to acquire one of two medical clinics based on their productivity, as measured by the total number of visits per month. You have been asked whether there is a significance difference in the total number of visits per month between clinic 1 and clinic 2.For this assessment, perform hypothesis testing on the differences between two groups in the Assessment 2 Dataset. Create an appropriately labeled Excel document with your results. Also write an analysis of the results in a Word document. Insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions.Submit both the Word document and the Excel file that shows the results.Grading CriteriaThe numbered assessment instructions outlined below correspond to the grading criteria in the Hypothesis Testing for Differences Between Groups Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed.Generate a hypothesis about the difference between two groups in a dataset.State null hypothesis and alternative hypothesis as an explanation and math equation.Identify the appropriate statistical test in a dataset.Provide your statistical rationale.Perform appropriate statistical test of the difference between two groups in a dataset.Interpret the results of a data analysis and state whether to accept or reject the null hypothesis based on the p-value and an alpha of .05.Interpret p-value and statistical significance.Write a narrative summary of the results that includes practical, administration-related implications of the hypothesis test.Additional RequirementsYour assessment should meet the following requirements:Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately.Length: 2–3 pagesResources: Not required.APA format: Cite your sources using current APA format.Font and font size: Times Roman, 10 point.

For Option #1, you will explore how graph coloring concepts can be applied to the real-world problem of installing Wi-Fi stations in an office. Suppose that an office is installing four Wi-Fi stations throughout the building, and that any stations within 150 feet of each other must transmit on different channels.Complete the following tasks:Create your own office configuration and fill in the table with the distances between each pair of Wi-Fi stations in your office. (Note: The maximum distance possible between any two Wi-Fi stations is 200 ft.) Station #1Station #2Station #3Station #4Station #1 Station #2 Station #3 Station #4 Suppose the engineers want to minimize the number of channels. Draw a graph that would be useful to solve this problem. (Hint: Edges should connect two stations when the distance is less than 150 feet.)Discuss how this problem can be solved using graph coloring concepts.Solve the problem.Explain what the chromatic number of the graph you created in part (b) would tell the engineers installing the Wi-Fi stations.