ABSTRACT

In the area of applied statistics, scientists use statistical distributions to model a wide range of practical problems, from modeling the size grade distribution of onions to modeling global positioning data. To apply these probability models successfully, practitioners and researchers must have a thorough understanding of the theory as well as a

chapter |8 pages

Introduction to StatCalc

chapter 1|20 pages

Preliminaries

part |2 pages

Discrete Uniform Distribution

chapter |20 pages

Binomial Distribution

chapter 4|20 pages

Hypergeometric Distribution

chapter 5|22 pages

Poisson Distribution

chapter |4 pages

Geometric Distribution

chapter 7|10 pages

Negative Binomial Distribution

chapter 8|8 pages

Logarithmic Series Distribution

chapter |4 pages

Continuous Uniform Distribution

chapter |36 pages

Normal Distribution

chapter 11|8 pages

Chi-Square Distribution

chapter |8 pages

F Distribution

chapter 13|8 pages

Student’s t Distribution

chapter 14|6 pages

Exponential Distribution

chapter |10 pages

Gamma Distribution

chapter 16|12 pages

Beta Distribution

chapter 17|10 pages

Noncentral Chi-square Distribution

chapter |8 pages

Noncentral F Distribution

chapter 19|8 pages

Noncentral t Distribution

chapter 20|8 pages

Laplace Distribution

chapter |6 pages

Logistic Distribution

chapter 22|10 pages

Lognormal Distribution

chapter 23|6 pages

Pareto Distribution

chapter |6 pages

Weibull Distribution

chapter 25|6 pages

Extreme Value Distribution

chapter 26|6 pages

Cauchy Distribution

chapter |8 pages

Inverse Gaussian Distribution

chapter 28|4 pages

Rayleigh Distribution

chapter 29|14 pages

Bivariate Normal Distribution

chapter |4 pages

Distribution of Runs

chapter 32|4 pages

Wilcoxon Signed-Rank Test

chapter 33|4 pages

Wilcoxon Rank-Sum Test

part 34|2 pages

Nonparametric Tolerance Interval