# Further Discrete Distributions: Part 2

In Probability Functions we examined the very important binomial distribution. Here we examine … geo, negbin, hypergeo … Other distributions involving Bernoulli trials… A. Geometric. B. Negative Binomial. C. Hypergeometric.

# Post-Secondary Probability

Discrete Distributions Further Discrete Distributions: Part 1 Further Discrete Distributions: Part 2 Continuous Distributions Further Continuous Distributions Further Continuous Distributions: Part 2

# Post-Secondary Statistics

The essays below are concerned with statistical concepts not normally covered at the secondary level. Inferential Statistics Single Sample Inferences on Quantitative Data Two-Sample Inferences Categorical Data and the TI-84 Calculator Testing Categorical Data One-way ANOVA Some Distribution Theory Multivariate Distributions

# Bivariate Data

We wish to emphasize that the data sets presented so far are associated with a single random variable. This means that each sample refers to a single, specific population or population characteristic. The technical name for such data is univariate. Data which derives from two separate populations or population characteristics is called bivariate.

# Categorical Data

Statistics is often introduced using quantitative data such as height, weight, waiting time, etc. But there is a wide, wide world of very important data of a different type; qualitative or categorical data. As the name suggests, categorical data is expressed, as a random variable, in terms of categories or cells; two or more information[…]

# Testing Categorical Data

Introduction Chi-Square Tests are generally applied to categorical data. Yet the Chi-square distribution is a continuous random variable. How can this be ? The answer may be found in the history of statistical methods. Just as de Moivre and Laplace sought for and found the normal approximation to the binomial, Karl Pearson sought for and[…]

# Conditional Probability: Part 2

The conditional probability of event B given that event A has occurred, P(B/A), was introduced in Chances Are…?. Here we provide additional examples of conditional probability with a special emphasis on applications of the general multiplication rule P(A and B) = P(A) x P(B/A), An extension of the general multiplication rule {P(A and B) =[…]