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STAT 104 Section 10

STAT 104 Section 10. Daniel Moon. Agenda. Midterm Review: Power Multiple Regression Project Proposal Guideline. Power. Probability that a fixed level alpha significance test will reject H 0 when a particular alternative value of the parameter is true.

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STAT 104 Section 10

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  1. STAT 104 Section 10 Daniel Moon

  2. Agenda • Midterm Review: Power • Multiple Regression • Project Proposal Guideline

  3. Power • Probability that a fixed level alpha significance test will reject H0 when a particular alternative value of the parameter is true. • State H0, Ha, the particular alternative we want to detect, and significance level alpha • Find rejection region of sample statistic (ex, proportion) • Calculate P( observing these value of sample statistic when alternative is true)

  4. Increasing power • Increase alpha • Consider a particular alternative that is farther away from null hypothesis • Increase sample size • Decrease sigma

  5. Agenda • Power • Multiple Regression • Project Proposal Guideline

  6. Simple Linear Regression

  7. Simple Linear Regression

  8. Confidence or Prediction Interval

  9. Agenda • Power • Multiple Regression • Project Proposal Guideline

  10. Project Proposal Guideline • Option A: Review of others’ paper • Option B: Analysis of data • Poster Presentation during reading period • Blank Review Form • TFs will grade the posters without access to any of the student’s reviews. • The instructor will grade the reviews before seeing any of the TFs’ poster reviews and grades.

  11. Project Proposal: Option A • Locating a scientific paper • Research journals • Visit library • hollis.harvard.edu • Poster • the afore-mentioned results of statistical tests • t-test, chi-square, multiple regression • Graphical display • Strength and Weakness of statistical analysis

  12. Project Proposal: Option B • Search data • Some links are on the class website • MIT-Harvard Database • Finance.google.com, • Background, Study of design or Observational study, Methods, Results, Conclusions

  13. What I am looking for • Your effort to gather data • Right use of statistical analysis • How much you give your time and thinking to your project? • Clear display of your result

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