# Statistics project (I need this done ASAP)

Full rubric is linked in files. MDM 4U Statistical Analysis Project Page 1 of 2 Students will work in partners to gather and analyze statistics of their choice. Your final report should be between 10 – 15 pages. Part 1. Introduction State a hypothesis related to your topic. Once a topic and main hypothesis are identified, you will need to research and collect data for analysis. The challenge for students at this stage is to collect sufficient relevant data. Once the data has been collected, you will need to provide a brief description of the data. If there are any acronyms or short forms that are not commonly used, you will need to define them. For example, don’t assume that I know all of the short forms for all sports. Tell me that FG% = Field Goal percentage. Finally, state the source (s) of your data. You will need to submit a soft copy of your data tables. Part 1 Evaluation Level 1 Level 2 Level 3 Level 4  Hypothesis is clearly stated  Sources stated and soft copy submitted.  Data description is incomplete.  Hypothesis is simple and clearly stated  Sources stated and soft copy submitted.  Data description is limited.  Hypothesis is creative, simple and clearly stated  Sources stated and soft copy submitted.  Data description is missing a few important facts.  Hypothesis is creative, simple and clearly stated  Sources stated and soft copy submitted.  Data description is thorough. Part 2. One Variable Analysis In this part, you are to examine your data by performing single variable analyses. Briefly explain in point form your results. You must be able to demonstrate that you understand the meaning of the statistical tools and how to analyse them critically with respect to your topic and hypothesis. Suggested types of analysis include: 1. Create graphs using: parallel box plots, histograms, stacked bar charts, segmented bar charts, pie graphs, pivot charts 2. Discuss and compare: measures of central tendency, measures of spread 3. Discuss effects of outliers Part 2 Evaluation Level 1 Level 2 Level 3 Level 4  A few statistics are missing  Some analysis is incorrect  Analysis doesn’t demonstrate a complete understanding of the statistics.  Appropriate statistics are shown.  Most of the analysis is correct, but doesn’t necessarily demonstrate an understanding of statistical tools  Appropriate statistics are shown.  One of the remaining criteria for a level 4 is not complete. For example, the analysis is well done, but not organized, or the analysis is correct and organized, but some comparisons have not been made.  Appropriate statistics are shown.  The analysis is correct, clear and organized  The analysis demonstrates an understanding of the statistics by making use of comparing statistics and describing the statistics in context.  Connections have been made to the original hypothesis

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MDM 4U Statistical Analysis Project Page 1 of 2 Students will work in partners to gather and analyze statistics of their choice. Your final report should be between 10 – 15 pages. Part 1. Introduction State a hypothesis related to your topic. Once a topic and main hypothesis are identified, you will need to research and collect data for analysis. The challenge for students at this stage is to collect sufficient relevant data. Once the data has been collected, you will need to provide a brief description of the data. If there are any acronyms or short forms that are not commonly used, you will need to define them. For example, don’t assume that I know all of the short forms for all sports. Tell me that FG% = Field Goal percentage. Finally, state the source (s) of your data. You will need to submit a soft copy of your data tables. Part 1 Evaluation Level 1 Level 2 Level 3 Level 4  Hypothesis is clearly stated  Sources stated and soft copy submitted.  Data description is incomplete.  Hypothesis is simple and clearly stated  Sources stated and soft copy submitted.  Data description is limited.  Hypothesis is creative, simple and clearly stated  Sources stated and soft copy submitted.  Data description is missing a few important facts.  Hypothesis is creative, simple and clearly stated  Sources stated and soft copy submitted.  Data description is thorough. Part 2. One Variable Analysis In this part, you are to examine your data by performing single variable analyses. Briefly explain in point form your results. You must be able to demonstrate that you understand the meaning of the statistical tools and how to analyse them critically with respect to your topic and hypothesis. Suggested types of analysis include: 1. Create graphs using: parallel box plots, histograms, stacked bar charts, segmented bar charts, pie graphs, pivot charts 2. Discuss and compare: measures of central tendency, measures of spread 3. Discuss effects of outliers Part 2 Evaluation Level 1 Level 2 Level 3 Level 4  A few statistics are missing  Some analysis is incorrect  Analysis doesn’t demonstrate a complete understanding of the statistics.  Appropriate statistics are shown.  Most of the analysis is correct, but doesn’t necessarily demonstrate an understanding of statistical tools  Appropriate statistics are shown.  One of the remaining criteria for a level 4 is not complete. For example, the analysis is well done, but not organized, or the analysis is correct and organized, but some comparisons have not been made.  Appropriate statistics are shown.  The analysis is correct, clear and organized  The analysis demonstrates an understanding of the statistics by making use of comparing statistics and describing the statistics in context.  Connections have been made to the original hypothesis MDM 4U Statistical Analysis Project Page 2 of 2 Part 3. Two Variable Analysis In this part, you are to examine your data by performing two variable analyses. You must be able to demonstrate that you understand the meaning of the statistical tools and how to analyse them critically with respect to your topic and hypothesis. Suggested types of analysis include: Create and compare linear regressions. Include the following:  Graphs of the scatter plots, lines of best fit and residual plots  Linear regression equations, r values and R2 values.  Meanings of slopes, r values and R2 values Discuss your results. Two Variable Analysis Evaluation Level 1 Level 2 Level 3 Level 4  Linear and non-linear regressions is/are incorrect or unclear.  Some analysis is incorrect  Math content is incorrect  Linear and non-linear regressions are mostly completed  The explanations accompanying regression demonstrate some understanding of the statistical tools in relation to the hypothesis  Linear and non-linear regressions are completed  The explanations accompanying regression demonstrate understanding of the statistical tools in relation to the hypothesis but lacks some cohesiveness  Linear and non-linear regressions are completed  The explanations accompanying regression demonstrate understanding of the statistical tools in relation to the hypothesis Part 4. Conclusions / Next Steps/ Overall Results In this part, you will summarize your analysis to discuss whether or not your data supports or refutes your hypothesis. You must be able to demonstrate that you understand the meaning of the statistical tools and how to analyse them critically with respect to your topic and hypothesis. You will also discuss possible next steps. If you were able to continue your work, what would you do? If you had more / different data, what could you do to investigate your hypothesis. Level 1 Level 2 Level 3 Level 4  A summary of the project is discussed, demonstrating some understanding of some of the statistical tools in relation to the hypothesis.  A complete picture of the project is discussed, demonstrating some understanding of all of the statistical tools in relation to the hypothesis. Next steps are discussed.  A complete picture of the project is discussed, demonstrating an understanding of all of the statistical tools in relation to the hypothesis, but the overall project lacks cohesiveness. Next steps are discussed.  A complete picture of the project is discussed, with thoroughness, demonstrating an understanding of all of the statistical tools in relation to the hypothesis. Next steps are discussed.  Waiter brings out a serving tray, but the selection is not “tasty”  The selections on the tray taste good, but something is missing. (No appetizer? No dessert?)  Everything is presented beautifully, and tastes delightful, but the waiter trips on the way to the table.  With grace and elegance, the waiter serves a culinary delight.

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