Biomedical Statistics Course ANAT 597 Examination Two - Due Thursday May 2.

Examination Two Consists of Three Projects

Project One - Central Limit Theorm and Confidence Intervals

  • Draw on information from chapters of our textbook with emphasis on chapters 7.
  • What is the difference between standard deviation and standard error?
  • The dataset(s) can be from your laboratory, from a public repository, or you can make it up.
  • Provide R scripts used to describe the sample(s).
    • Provide a printed table.
    • Provide a printed graphic (bar, line, etc).
  • Provide R scripts used to test the null hypothesis.
    • Is the null rejected at the .05 level?

Project Two - Hypothesis Testing

  • Draw on information from chapters of our textbook with emphasis on chapters 9-10.
  • The dataset(s) can be from your laboratory, from a public repository, or you can make it up.
  • Provide R scripts used to describe the sample(s).
    • Provide a printed table.
    • Provide a printed graphic (line, histogram, etc).
  • Provide R scripts used to test the null hypothesis.
    • Is the null rejected at the .05 level?
    • T-test - no more than two groups. Can be independent or dependent.

Project Three - Linear Regression

  • Draw on information from chapters of our textbook with emphasis on chapters 12.
  • The dataset(s) can be from your laboratory, from a public repository, or you can make it up.
  • Pearson r.
  • Provide R scripts used to describe the sample(s).
    • Provide a printed table.
    • Provide a printed graphic (line, histogram, etc).
  • Provide R scripts used to test the null hypothesis.
    • Is the null rejected at the .05 level?
    • Analysis of Variance - F score.

Project Four - ANOVA

  • Draw on information from chapters of our textbook with emphasis on chapter 13.
  • The dataset(s) can be from your laboratory, from a public repository, or you can make it up.
  • Sums of squares - within, between, total
  • Provide R scripts used to describe the sample(s).
    • Provide a printed table.
    • Provide a printed graphic (line, histogram, etc).
  • Provide R scripts used to test the null hypothesis.
    • Is the null rejected at the .05 level?
    • Fisher F ratio.
    • Analysis of Variance - F score.

Suggestions for Each Project

  • Discuss these projects with anyone including each other and/or your PI; or work alone.
    • You could use real data from you laboratory to compare two conditions from a much larger design.
    • Please test the sample for assumptions of variance. This can be easily done in R.
  • Treat this is an opportunity to "dry run" a sample of your dissertation data and design (no more than two groups).
  • Please do not use the same datasets among you.
  • The outline of your projects can essentially follow the outline of the book (below) as relevant.

Course Description, Examinations, and Attendance

  • Course Description. The Biomedical Statistics ANAT 597 provides the student with a foundational knowledge of basic statistics. This foundation of knowledge enables to the student to adapt to the statistical requirements of their specific research. In addition, this course provides instruction for using R/RStudio to perform statistical analysis and data graphics display. A coordinated combination of lecture topics and laboratory exercises address descriptive, population, and non-parametric statistics.
  • Examinations. The are two examinations; a mid-term and a final. Each examination is worth 100 points; 50% of 200 total points available for the course. Essay style questions are crafted from lecture topics and laboratory exercises. Each examination is two hours long.
  • Attendance. Recommended. Pending the individual's assessment for the merit of attendance in their particular case. It may become awkward if the two examinations are not attended.
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Topic revision: r2 - 25 Apr 2019, LorenEvey
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