Statistics with R - Robert Stinerock

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Résumé :
Chapter 1: Introduction and R Instructions
Basic Terminology
Data: Qualitative or Quantitative
Data: Cross-Sectional or Longitudinal
Descriptive Statistics
Probability
Statistics: Estimation and Inference
Chapter 2: Descriptive Statistics: Tabular and Graphical Methods
Methods of Summarizing and Displaying Qualitative Data
Methods of Summarizing and Displaying Quantitative Data
Cross Tabulations and Scatter Plots
Chapter 3: Descriptive Statistics: Numerical Methods
Measures of Central Tendency
Measures of Location
Exploratory Data Analysis: The Box Plot Display
Measures of Variability
The z-Score: A Measure of Relative Location
Measures of Association: The Bivariate Case
The Geometric Mean
Chapter 4: Introduction to Probability
Some Important Definitions
Counting Rules
Assigning Probabilities
Events and Probabilities
Probabilities of Unions and Intersections of Events
Conditional Probability
Bayes? Theorem and Events
Chapter 5: Discrete Probability Distributions
The Discrete Uniform Probability Distribution
The Expected Value and Standard Deviation of a Discrete Random Variable
The Binomial Probability Distribution
The Poisson Probability Distribution
The Hypergeometric Probability Distribution
The Hypergeometric Probability Distribution: The General Case
Bayes? Theorem and Discrete Random Variables
Chapter 6: Continuous Probability Distributions
Continuous Uniform Probability Distribution
Normal Probability Distribution
Exponential Probability Distribution
Optional Material: Derivation of the Cumulative Exponential Probability Func- tion
Bayes? Theorem and Continuous Random Variables
Chapter 7: Point Estimation and Sampling Distributions
Populations and Samples
The Simple Random Sample
The Sample Statistic: x, s, and p
The Sampling Distribution of x
The Sampling Distribution of p
Some Other Commonly Used Sampling Methods
Bayes? Theorem: Approximate Bayesian Computation
Chapter 8: Confidence Interval Estimation
Interval Estimate of ? When σ...

Biographie:
Is Known
Interval Estimate of ? When σ...

Sommaire:
Chapter 1: Introduction and R Instructions
Basic Terminology
Data: Qualitative or Quantitative
Data: Cross-Sectional or Longitudinal
Descriptive Statistics
Probability
Statistics: Estimation and Inference
Chapter 2: Descriptive Statistics: Tabular and Graphical Methods
Methods of Summarizing and Displaying Qualitative Data
Methods of Summarizing and Displaying Quantitative Data
Cross Tabulations and Scatter Plots
Chapter 3: Descriptive Statistics: Numerical Methods
Measures of Central Tendency
Measures of Location
Exploratory Data Analysis: The Box Plot Display
Measures of Variability
The z-Score: A Measure of Relative Location
Measures of Association: The Bivariate Case
The Geometric Mean
Chapter 4: Introduction to Probability
Some Important Definitions
Counting Rules
Assigning Probabilities
Events and Probabilities
Probabilities of Unions and Intersections of Events
Conditional Probability
Bayes? Theorem and Events
Chapter 5: Discrete Probability Distributions
The Discrete Uniform Probability Distribution
The Expected Value and Standard Deviation of a Discrete Random Variable
The Binomial Probability Distribution
The Poisson Probability Distribution
The Hypergeometric Probability Distribution
The Hypergeometric Probability Distribution: The General Case
Bayes? Theorem and Discrete Random Variables
Chapter 6: Continuous Probability Distributions
Continuous Uniform Probability Distribution
Normal Probability Distribution
Exponential Probability Distribution
Optional Material: Derivation of the Cumulative Exponential Probability Func- tion
Bayes? Theorem and Continuous Random Variables
Chapter 7: Point Estimation and Sampling Distributions
Populations and Samples
The Simple Random Sample
The Sample Statistic: x, s, and p
The Sampling Distribution of x
The Sampling Distribution of p
Some Other Commonly Used Sampling Methods
Bayes? Theorem: Approximate Bayesian Computation
Chapter 8: Confidence Interval Estimation
Interval Estimate of ? When σ...