Chapter
Chapter 2 WORKING WITH DATA
Importing Data from Text Files
Importing Data from Databases
Chapter 3 WORKING WITH CHARTS
Introducing Scatter Plots
Breaking a Scatter Plot into Categories
Plotting Several Variables
Chapter 4 DESCRIBING YOUR DATA
Variables and Descriptive Statistics
Working with Stem and Leaf Plots
Chapter 5 PROBABILITY DISTRIBUTIONS
Probability Distributions
Random Variables and Random Samples
Excel Worksheet Functions
Parameters and Estimators
The Sampling Distribution
The Central Limit Theorem
Chapter 6 STATISTICAL INFERENCE
Applying the t Test to Paired Data
Applying a Nonparametric Test to Paired Data
Testing for Equality of Variance
Applying the t Test to Two-Sample Data
Applying a Nonparametric Test to Two-Sample Data
Final Thoughts about Statistical Inference
Computing Expected Counts
The Pearson Chi-Square Statistic
Validity of the Chi-Square Test with Small Frequencies
Tables with Ordinal Variables
Chapter 8 REGRESSION AND CORRELATION
Performing a Regression Analysis
Checking the Regression Model
Creating a Correlation Matrix
Creating a Scatter Plot Matrix
Chapter 9 MULTIPLE REGRESSION
Regression Models with Multiple Parameters
Regression Example:Predicting Grades
Testing Regression Assumptions
Regression Example:Sex Discrimination
Chapter 10 ANALYSIS OF VARIANCE
One-Way Analysis of Variance
Analysis of Variance Example:Comparing Hotel Prices
Comparing Means with a Boxplot
One-Way Analysis of Variance and Regression
Two-Way Analysis of Variance
Two-Way Analysis Example:Comparing Soft Drinks
Time Series Example:The Rise in Global Temperatures
The Autocorrelation Function
Simple Exponential Smoothing
Two-Parameter Exponential Smoothing
Seasonal Example:Liquor Sales
Three-Parameter Exponential Smoothing
Optimizing the Exponential Smoothing Constant(optional)
Chapter 12 QUALITY CONTROL
Statistical Quality Control
Control Charts for Individual Observations