Biomedical Statistics Course ANAT 597 Examination One - Due Tuesday April 9th.

Examination One Consists of Two Projects

Project One - Discrete Random Variables

  • Draw on information from each of the first 6 chapters of our textbook.
  • The dataset(s) can be from your laboratory, from a public repository, or you can make it up.
  • The dataset needs to satisfy the Binomial Distribution.
  • 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?
    • Binomial test

Project Two - Continuous Random Variables

  • Draw on information from each of the first 6 chapters of our textbook.
  • The dataset(s) can be from your laboratory, from a public repository, or you can make it up.
  • The dataset needs to satisfy the Normal Distribution.
  • 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.

Suggestions for Each Project

  • Restrict each project to one or two groups. Do not plan on doing an ANOVA. For the continuous random variable project you can do a one-group (test an outlier) or two-group t-test with independent or dependent data.
    • Do not use a large sample size unless you are working with something meaningful. Do not spend excessive time at the keyboard with data entry. In fact, import existing data; or manually type it in; either way.
  • Discuss these projects with anyone including each other and/or your PI; or work alone.
    • Although two group designs are rare in laboratory research; a t-test can be used as a post hoc test. Thus, 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.

Scheduled Lectures and Laboratories

Lecture 1. Sampling and Data, Pages 1-66. March 12

Lecture: Sampling and Data

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Lecture 2. Descriptive Statistics, Pages 67-174. March 14

Lecture: Descriptive Statistics

R and RStudio: Descriptive Statistics

  • Pages:
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Lecture 3. Probability, Pages 175-242. March 19

Lecture: Probability

R and RStudio: Probability

  • Pages: Introduction to R and RStudio, Data entry, plotting
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Lecture 4. Discrete Random Variables, Pages 243-311. March 21

Lecture: Discrete Random Variables

R and RStudio

  • The binomial distribution
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Lecture 5. Continuous Random Variables. Pages 311-365. March 26

Lecture

R and RStudio

  • T-test: Paired versus Independent Groups and Degrees of Freedom

Lecture 6. The Normal Distribution. Pages 365-398. March 26

Lecture

R and RStudio

  • Pages:
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Examination One Preparation - March 28

Examination One Preparation

  • Pages: 1-399

R and RStudio: Review

  • Pages: 1-399
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Examination One. Chapters 1-6. 100 points (50%). Take Home Due Friday, April 5

  • This 2-hour written examination focuses on lecture content and laboratory exercises.
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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 - 03 Apr 2019, LorenEvey
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