Biomedical Statistics Course ANAT 597

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.

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

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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

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Examination One. Chapters 1-6. 100 points (50%). Take Home Due Tuesday, April 9

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Lecture 7. The Central Limit Theorem. Pages 399-442. April 4

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Lecture 8. Confidence Intervals. Pages 443-504. April 4

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Lecture 9. Hypothesis Testing with One Sample, Pages 505-566. April 11

Lecture

R and RStudio

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Lecture 10. Hypothesis Testing with Two Samples, Pages 567-621. April 16

Lecture

R and RStudio

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Lecture 11. The Chi-Square Distribution, Pages 621-679. April 18

Lecture

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R and RStudio

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Lecture 12. Linear Regression, and Correlation, Pages 679-742. April 23

Lecture

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R and RStudio

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Lecture 9. The F Distribution and One-Way ANOVA, Pages 743-784. April 25

Lecture

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R and RStudio

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Examination Two. Chapters 7-13. 100 points (50%). Due May 2

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Topic revision: r19 - 25 Apr 2019, LorenEvey
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