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Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that.

Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you.

It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.

Introduction

Summarizing Data

Probability

Functions of Random Variables

Discrete Probability Distributions

Continuous Probability Distributions

Standard Normal Distribution

Estimation

Confidence Intervals

Hypothesis Testing

Regression Analysis

Analysis of Variance

Experimental Design

Nonparametric Statistics

Quality Control and Risk Analysis

General Linear Models

Miscellaneous Topics

Special Functions

Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that.

Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you.

It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.

Introduction

Summarizing Data

Probability

Functions of Random Variables

Discrete Probability Distributions

Continuous Probability Distributions

Standard Normal Distribution

Estimation

Confidence Intervals

Hypothesis Testing

Regression Analysis

Analysis of Variance

Experimental Design

Nonparametric Statistics

Quality Control and Risk Analysis

General Linear Models

Miscellaneous Topics

Special Functions

Whether you are a statistician, engineer, or businessperson, you need statistics. You want to be able to easily reference tables, find formulas, and know how to use them so you can extract information from data without getting bogged down by advanced statistical methods. Your goal is to determine the appropriate statistical procedures and interpret the results. Standard Probability and Statistics: Tables and Formulae provides the tools you need to do just that.

Logically organized and reaching far beyond a mere catalog, a textual description accompanies each entry- most include an example. The topics addressed are directly applicable to modern business and engineering as well as to statistics, including regression analysis, ANOVA, decision theory, signal processing, and control theory. The result is an accessible, example-oriented handbook that supplies the basic principles, the most commonly used values, and the information to make them work for you.

It is easy to fill a statistics reference with hundreds of pages of tables - sometimes for just one test. This handbook is much more. With topics ranging from classical statistics to modern applications, Standard Probability and Statistics fills the need for an up-to-date, authoritative statistics reference.

Introduction

Summarizing Data

Probability

Functions of Random Variables

Discrete Probability Distributions

Continuous Probability Distributions

Standard Normal Distribution

Estimation

Confidence Intervals

Hypothesis Testing

Regression Analysis

Analysis of Variance

Experimental Design

Nonparametric Statistics

Quality Control and Risk Analysis

General Linear Models

Miscellaneous Topics

Special Functions

Introduction

Summarizing Data

Probability

Functions of Random Variables

Discrete Probability Distributions

Continuous Probability Distributions

Standard Normal Distribution

Estimation

Confidence Intervals

Hypothesis Testing

Regression Analysis

Analysis of Variance

Experimental Design

Nonparametric Statistics

Quality Control and Risk Analysis

General Linear Models

Miscellaneous Topics

Special Functions

Introduction

Summarizing Data

Probability

Functions of Random Variables

Discrete Probability Distributions

Continuous Probability Distributions

Standard Normal Distribution

Estimation

Confidence Intervals

Hypothesis Testing

Regression Analysis

Analysis of Variance

Experimental Design

Nonparametric Statistics

Quality Control and Risk Analysis

General Linear Models

Miscellaneous Topics

Special Functions

Introduction

Summarizing Data

Probability

Functions of Random Variables

Discrete Probability Distributions

Continuous Probability Distributions

Standard Normal Distribution

Estimation

Confidence Intervals

Hypothesis Testing

Regression Analysis

Analysis of Variance

Experimental Design

Nonparametric Statistics

Quality Control and Risk Analysis

General Linear Models

Miscellaneous Topics

Special Functions