CLRES 2020: BIOSTATISTICS - University of Pittsburgh
CLRES 2020: BIOSTATISTICS - University of Pittsburgh
CLRES 2020: BIOSTATISTICS - University of Pittsburgh
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• Rosner’s Book Chapter 3<br />
Homework assignment 1:<br />
1. Describe the data with numerical and graphical summaries.<br />
2. Probability question<br />
3. Screening test<br />
Session 4: Discrete Probability Distribution<br />
At the conclusion <strong>of</strong> this lecture, the student will be able to:<br />
Topics:<br />
1. Understand concepts <strong>of</strong> random variable and its distribution<br />
2. Calculate the mean and variance <strong>of</strong> binomial and poisson distribution<br />
3. Familiar with PMF and CDF <strong>of</strong> binomial and poisson distribution<br />
4. Distinguish between binomial and poisson distribution<br />
1. Definition <strong>of</strong> a Random Variable<br />
2. The Probability Mass Function (Probability Function; Distribution)<br />
3. The Expected value <strong>of</strong> a discrete random variable<br />
4. The Variance <strong>of</strong> a discrete random variable<br />
5. The Cumulative Distribution Function<br />
6. The Binomial Distribution<br />
7. The Poisson Distribution<br />
Required Reading:<br />
• Rosner’s Book Chapter 4<br />
Session 5: Continuous Probability Distributions (I)<br />
At the conclusion <strong>of</strong> this lecture, the student will be able to:<br />
Topics:<br />
1. Calculate the expected value and variance <strong>of</strong> continuous random variable<br />
2. Familiar with PDF and CDF <strong>of</strong> normal distribution<br />
3. Use normal tables to solve problems<br />
1. Definition <strong>of</strong> Random Variables (Review)<br />
2. Probability Density Function<br />
3. The Cumulative Distribution Function<br />
4. The Expected Value and the Variance <strong>of</strong> a Continuous Random Variable<br />
5. The Normal Distribution<br />
6. Using Normal Tables<br />
Required Reading:<br />
5