SSI-Assignment_Instructions.pdf - MATH 1308/2018 Signature...

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MATH 1308 /2018 1 Signature Statistics Inquiry The purpose of the Statistics Inquiry project is to deepen the following skills: Critical Thinking Skills - to include creative thinking, innovation, inquiry, and analysis, evaluation and synthesis of information. Communication Skills - to include effective development, interpretation and expression of ideas through written, oral and visual communication. Empirical and Quantitative Skills - to include the manipulation and analysis of numerical data or observable facts resulting in informed conclusions. The Statistics Inquiry project provides students with two statistical summary opportunities. The first part involves descriptive statistics , for which you will gather, summarize, and display summaries of a data set chosen from a list. The second part involves inferential statistics , whereby you will analyze the data and test hypotheses. You will submit a written report to communicate your findings and conclusions in Blackboard. The written report must be completed and uploaded as a Microsoft Word document within the Blackboard tab, “Stats Inquiry Project.” The submission portal utilizes SafeAssign. Any graphs or displays should be included in your word document. BONUS OPPORTUNITY (5 points) : Instead of choosing a data set from our list, develop your own topic and collect your own data! Complete Parts I and II with your own data for bonus points. You will need to explain in detail how you collected your data and include the raw data you collected as an appendix. Part I: Descriptive Statistics Describe the data you chose by explaining what variable or variables you are summarizing/displaying and why you chose the variable(s). Include in your description your reasons for the summaries/displays you used. Provide at least 3 different numerical summaries or displays of your data, as appropriate. Examples include mean, median, standard deviation, 5-number summary, linear correlation coefficient, and/or linear regression equation; pie chart, Pareto chart, frequency/relative frequency distribution, histogram, stem-and-leaf plot, and/or scatter plot.
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