Inferential Statistics Course

1. Basic Probability

   1. Introduction to Numpy

   2. Discrete Statistics

   3. Binomial Distribution

   4. Expected Value

   5. Solving Real World problems

2. Probability Distributions

   1. Distribution Types

   2. Discrete Probability Distributions

   3. Solving Real World problems

   4. Uniform Distributions

3. Continuous Probability Distributions

1. 1. Distribution Types

   2. Normal Distribution

   3. Empirical Rule

   4. Z Scores

4. Hypothesis Testing

1. Central Limit Theorem

2. Bootstrapping

3. Confidence Interval

4. Null Hypothesis

5. p-value

5. Statistical Tests

1. t-tests

2. Paired t-tests

3. chi squared tests