Statistics Homework Help

Probability Definitions and Set Theory: Terms used in statistics and probability are defined. Set Theory is also explained.
Properties and Functions: Statistics and probability uses axioms and properties based on sets. Probability functions consist of two types: discrete and continuous.
Conditional Probability: Conditional probability determines the probability of an event after another event has occurred. It is the basis for total probability and Bayes' Theorem
Combinations and Permutations: Methods are described for counting the number of ordered and unordered subsets
Random Variables: Random variables provide a way of mapping a set onto a number line
Distribution Functions: The Binomial Distribution Function is presented along with examples. The discrete and continuous forms of the Cumulative Distribution Function are described along with their properties
Expected Value and Variance: Central Tendency is described along with expected value and variance and their properties
Normal Distribution: The normal distribution is explained along with the Standard Normal Distribution. How to find probability is described using the area under the distribution.