Introduction

• Evolution and Scope
• Data for Business Analytics
• Decision Models
• Problem Solving and Decision Making

Descriptive Statistical Measures

• Statistical Notation
• Measures of Location
• Measures of Dispersion
• Measures of Shape
• Measures of Association
• Excel Descriptive Statistics Tool

Probability Distributions

• Probability Basics
• Discrete Probability Distributions
• Continuous Probability Distributions
• Distribution Fitting

Sampling and Estimation

• Sampling Methods
• Statistical Sampling
• Sampling Distributions
• Estimation
• Interval Estimates
• Confidence Intervals
• Prediction Intervals

Statistical Inference

• Hypothesis Testing
• One-Sample Hypothesis Tests
• Two-Sample Hypothesis Tests
• ANOVA

R Programming Language Introduction

• What is R?
• Objects and Arithmetic
• Summaries and Subscripting
• Matrices
• Attaching to objects
• Statistical Computation and Simulation
• Graphics

Reading Data from files

• The read.table() function
• The scan() function
• Accessing Builtin Datasets
• Editing data

Probability Distributions

• R as a set of statistical tables
• Examining the distribution of a set of data
• One- and two-sample tests

Statistical Models in R

• Defining statistical models; formulae
• Linear models
• Generic functions for extracting model information
• Analysis of variance and model comparison
• Updating fitted models
• Generalized Linear Models
• Nonlinear least squares and maximum likelihood models
• Some Non-Standard Models

R Graphics Facilities

• High-Level Plotting Commands
• Low-level plotting commands
• Interacting with graphics
• Using graphics parameters
• Graphics parameters list
• Figure margins
• Device drivers

R Data Import/Export

• Imports
• XML
• Spreadsheet-like data
• Importing from other statistical systems
• Relational databases
• Binary files
• Image files
• Connections
• Network interfaces
• Reading Excel spreadsheets

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