Statistics and Data with R An Applied Approach Through Examples

ISBN-10: 0470758058
ISBN-13: 9780470758052
Edition: 2008
List price: $117.00
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Book details

List price: $117.00
Copyright year: 2008
Publisher: John Wiley & Sons, Incorporated
Publication date: 12/3/2008
Binding: Hardcover
Pages: 618
Size: 7.00" wide x 9.75" long x 1.75" tall
Weight: 2.596
Language: English

Preface
Data in statistics and R
Basic R.1.1 Preliminaries
Modes
Vectors
Arithmetic operators and special values
Objects
Programming
Packages
Graphics
Customizing the workspace
Projects
Assignments
Data in statistics and in R
Types of data
Objects that hold data
Data organization
Data import, export and connections
Data manipulation
Manipulating strings
Assignments
Presenting data
Tables and the flavors of apply ()
Bar plots
Histograms
Dot charts
Scatter plots
Lattice plots
Three-dimensional plots and contours
Assignments
Probability, densities and distributions
Probability and random variables
Set theory
Trials, events and experiments
Definitions and properties of probability
Conditional probability and independence
Algebra with probabilities
Random variables
Assignments
Discrete densities and distributions
Densities
Distribution
Properties
Expected values
Variance and standard deviation
The binomial
The Poisson
Estimating parameters
Some useful discrete densities
Assignments
Continuous distributions and densities
Distributions
Densities
Properties
Expected values
Variance and standard deviation
Areas under density curves
Inverse distributions and simulations
Some useful continuous densities
Assignments
The normal and sampling densities
The normal density
Applications of the normal
Data transformations
Random samples and sampling densities
A detour: using R efficiently
The sampling density of the mean
The sampling density of proportion
The sampling density of intensity
The sampling density of variance
Bootstrap: arbitrary parameters of arbitrary densities
Assignments
Statistics
Exploratory data analysis
Graphical methods
Numerical summaries
Visual summaries
Assignments
Point and interval estimation
Point estimation
Interval estimation
Point and interval estimation for arbitrary densities
Assignments
Single sample hypotheses testing
Null and alternative hypotheses
Large sample hypothesis testing
Small sample hypotheses testing
Arbitrary parameters of arbitrary densities
p-values
Assignments
Power and sample size for single samples
Large sample
Small samples
Power and sample size for arbitrary densities
Assignments
Two samples
Large samples
Small samples
Unknown densities
Assignments
Power and sample size for two samples
Two means from normal populations
Two proportions
Two rates
Assignments
Simple linear regression
Simple linear models
Estimating regression coefficients
The model goodness of fit
Hypothesis testing and confidence intervals
Model assumptions
Model diagnostics
Power and sample size for the correlation coefficient
Assignments

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