Schaum Easy Outline of Probability and Statistics 1st Edition by Richard von Mises ISBN 0071383417 9780071383417

Schaum’s Easy Outline of Probability and Statistics 1st Edition by Richard von Mises – Ebook PDF Instant Download/Delivery. 0071383417, 9780071383417
Full download Schaum’s Easy Outline of Probability and Statistics 1st Edition after payment

Product details:

ISBN 10: 0071383417 
ISBN 13: 9780071383417
Author: Richard von Mises 

Boiled-down essentials of the top-selling Schaum’s Outline series for the student with limited time What could be better than the bestselling Schaum’s Outline series? For students looking for a quick nuts-and-bolts overview, it would have to be Schaum’s Easy Outline series. Every book in this series is a pared-down, simplified, and tightly focused version of its predecessor. With an emphasis on clarity and brevity, each new title features a streamlined and updated format and the absolute essence of the subject, presented in a concise and readily understandable form. Graphic elements such as sidebars, reader-alert icons, and boxed highlights stress selected points from the text, illuminate keys to learning, and give students quick pointers to the essentials. Designed to appeal to underprepared students and readers turned off by dense text Cartoons, sidebars, icons, and other graphic pointers get the material across fast Concise text focuses on the essence of the subject Delivers expert help from teachers who are authorities in their fields Perfect for last-minute test preparation So small and light that they fit in a backpack!

Schaum’s Easy Outline of Probability and Statistics 1st Table of contents:

Chapter 1 BASIC PROBABILITY
Random Experiments
Sample Spaces
Events
The Concept of Probability
The Axioms of Probability
Some Important Theorems on Probability
Assignment of Probabilities
Conditional Probability
Theorem on Conditional Probability
Independent Events
Bayes’ Theorem or Rule
Combinatorial Analysis
Fundamental Principle of Counting
Permutations
Combinations
Binomial Coef.cients
Stirling’s Approximation to n!
Chapter 2 DESCRIPTIVE STATISTICS
Descriptive Statistics
Measures of Central Tendency
Mean
Median
Mode
Measures of Dispersion
Variance and Standard Deviation
Percentiles
Interquartile Range
Skewness
Chapter 3 DISCRETE RANDOM VARIABLES
Random Variables
Discrete Probability Distribution
Distribution Functions for Random Variables
Distribution Functions for Discrete Random Variables
Expected Values
Variance and Standard Deviation
Some Theorems on Expectation
Some Theorems on Variance
Chapter 4 CONTINUOUS RANDOM VARIABLES
Continuous Random Variables
Continuous Probability Distribution
Distribution Functions for Continuous Random Variables
Expected Values
Variance
Properties of Expected Values and Variances
Graphical Interpretations
Chapter 5 EXAMPLES OF RANDOM VARIABLES
Binomial Distribution
Properties of Binomial Distributions
The Normal Distribution
Examples of the Normal Distribution
Poisson Distributions
Relationships between Binomial and Normal Distributions
Relationships between Binomial and Poisson Distributions
Relationships between Poisson and Normal Distributions
Central Limit Theorem
Law of Large Numbers
Chapter 6 SAMPLING THEORY
Population and Sample
Sampling
Random Samples, Random Numbers
Population Parameters
Sample Statistics
Sampling Distributions
The Sample Mean
Sampling Distribution of Means
Sampling Distribution of Proportions
Sampling Distribution of Differences and Sums
The Sample Variance
Frequency Distributions
Relative Frequency Distributions
Chapter 7 ESTIMATION THEORY
Unbiased Estimates and Ef.cient Estimates
Point Estimates and Interval Estimates
Con.dence Interval Estimates of Population Parameters
Con.dence Intervals for Means
Con.dence Intervals for Proportions
Con.dence Intervals for Differences and Sums
Chapter 8 TEST OF HYPOTHESIS AND SIGNIFICANCE
Statistical Decisions
Statistical Hypothesis
Tests of Hypothesis and Signi.cance
Type I and Type II Errors
Level of Signi.cance
Test Involving the Normal Distribution
One-Tailed and Two-Tailed Tests
P Value
Special Tests
Relationship between Estimation Theory and Hypothesis Testing
Chapter 9 CURVE FITTING, REGRESSION, AND CORRELATION
Curve Fitting
Regression
The Method of Least Squares
The Least-Squares Line
The Least-Squares Regression Line in Terms of Sample Variances and Covariance
Standard Error of Estimate
The Linear Correlation Coef.cient
Generalized Correlation Coef.cient
Correlation and Dependence
Chapter 10 OTHER PROBABILITY DISTRIBUTIONS
The Multinomial Distribution
The Hypergeometric Distribution
The Uniform Distribution
The Cauchy Distribution
The Gamma Distribution
The Beta Distribution
The Chi-Square Distribution
Student’s t Distribution
The F Distribution
Relationships Among Chi-Square, t, and F Distributions

People also search for Schaum’s Easy Outline of Probability and Statistics 1st:

schaum’s easy outline of probability and statistics
    
schaum’s outlines of probability and statistics
    
how to learn probability and statistics
    
schaum’s outline probability
    
schaum’s outline statistics