Introduction to the statistics project


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  • A useful guide for my students in my course SG005 Mathematics and Statistics for Daily Life.
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Introduction to the statistics project

  1. 1. Mathematics Statistics Project<br />
  2. 2. Objectives<br />Organize and present information in tabular, graphical and/or diagrammatic forms<br />Use appropriate notation and terminology<br />Demonstrate an understanding of the practical applications of mathematics<br />Use appropriate technological devices as tools.<br />Demonstrate appropriate use of statistical methods.<br />Form a logical argument, supported with concrete information<br />
  3. 3. Requirements<br />The project is a piece of work based on<br />Personal research, analysis and evaluation<br />of data.<br />Each project must contain:<br />A title<br />A statement of the task<br />Measurements, information or data<br />Analysis of the information, measurements or data<br />Evaluation of your analysis to form a solid argument<br />
  4. 4. Length<br />The project should be no longer than 1500 words, excluding diagrams, graphs, charts and tables. <br />However it is the quality of the work which is most important.<br />
  5. 5. Criterion<br />
  6. 6. Introduction<br />Your introduction should include:<br />A Title page with Title of your project; your name.<br />A clear but brief description of your project<br />Description of the steps you will take<br /> (make sure it includes what you are going to do and how you will do it – the intro can be written after the rest of the project)<br />
  7. 7. Information/Assessment<br />Collect sufficient data to be able to draw conclusions from it.<br />Organize your data in a logical fashion.<br />Verify the accuracy of your data (this is difficult if you do a survey of your peers – how do you ensure random sampling)<br />Confirm that data is relevant to your task<br />Provide a copy of raw data/questionnaire as appendix.<br />
  8. 8. Mathematical processes<br />Choose techniques that are appropriate<br />Verify/check your results to confirm there are no errors in your calculations<br />Use both simple and sophisticated processes<br />Explain the relevance of your processes<br />
  9. 9. Interpretation of results<br />Provide explanations of what your calculations show<br />Give enough detail in your interpretation so that a reader would agree with your conclusion<br />
  10. 10. Validity<br />Valid means does the project do what it set out to do?<br />Are your conclusions accurate?<br />Perhaps comment on how you could improve your project next time.<br />
  11. 11. Communication<br />Suggested order:<br />Title page<br /> Introduction<br />Organized data<br /> Mathematical Process<br /> Interpretation of results<br /> Discussion of validity<br /> Appendices (if required)<br />Include footnotes as necessary and cite your sources<br />Have someone else read your project for flow/readability, someone who is not familiar with this course<br />
  12. 12. Project ideas<br />Choose something in which you are interested; for which you will be able<br />to gather data; that there are mathematical processes simple and <br />sophisticated which are relevant.<br />Are yellow M & M’s less common than other colours?<br />Does that amount of water plants get affect their rate of growth?<br />What is the relationship between GNP and AIDS infection rates?<br />How quickly does water drain from a bucket?<br />How long does it take for a cup of coffee to cool to room temperature?<br />What is the pattern in the rise and fall of tides?<br />What is the stopping distance of a particular car?<br />Analysis of stock market fluctuations<br />A comparison between calorie intake and gender<br />Does eating breakfast have any effect on high school grades?<br />Infant mortality and GDP<br />Investigation of reaction times<br />Sports and grades<br />Air travel – distance compared with price<br />Cost efficiency of vehicles<br />Mobile phone charges in different countries<br />