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

Laboratory: Descriptive Statistics

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

Lecture: Probability

Laboratory: Probability

  • Key concepts: 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

Laboratory: Discrete Random Variables

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Lecture 5. Continuous Random Variables and The Normal Distribution, Pages 365-398. March 26

Lecture: Continuous Random Variables

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Lecture: The Normal Distribution

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Laboratory: The Normal Distribution

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Self-directed Study. - March 28

Lecture: Review

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Laboratory: Review

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Examination. Chapters 1-6. 100 points (50%). April 2

  • This 2-hour written examination focuses on lecture content and laboratory exercises.
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Lecture 6. The Central Limit Theorem and Confidence Intervals, Pages 399-504. April 4

Lecture: The Central Limit Theorem and Confidence Intervals

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Laboratory: The Central Limit Theorem and Confidence Intervals

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Lecture 7. Hypothesis Testing with One and Two Samples, Pages 505-620. April 9

Lecture: Hypothesis Testing with One and Two Samples

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Laboratory: Hypothesis Testing with One and Two Samples

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Lecture 8. The Chi-Square Distribution, Linear Regression, and Correlation, Pages 621-742. April 11

Lecture: The Chi-Square Distribution, Linear Regression, and Correlation

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Laboratory: The Chi-Square Distribution, Linear Regression, and Correlation

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Lecture 9. The F Distribution and One-Way ANOVA, Pages 743-784. April 16

Lecture: The F Distribution and One-Way ANOVA

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Laboratory: The F Distribution and One-Way ANOVA

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Lecture 10. The F Distribution and Two-Way ANOVA, Pages 743-784. April 18

Lecture: The F Distribution and Two-Way ANOVA

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Laboratory: The F Distribution and Two-Way ANOVA

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Lecture 11. Non-Parametric Statistics and Course Review. April 23

Lecture: Non-Parametric Statistics and Course Review

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Laboratory: Non-Parametric Statistics and Course Review

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Examination. Chapters 7-13. 100 points (50%). April 25

  • This 2-hour written examination focuses on lecture content and laboratory exercises.
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Topic revision: r13 - 21 Mar 2019, LorenEvey
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