Statistics for business and economics / 7th ed., global ed.

Chapter 1 Describing Data: Graphical
1.1 Decision Making in an Uncertain Environment
1.2 Classification of Variables
1.3 Graphs to Describe Categorical Variables
1.4 Graphs to Describe Time-Series Data
1.5 Graphs to Describe Numerical Variables
1.6 Tables and Graphs to Describe Relationships Between Variables
1.7 Data Presentation Errors
Chapter 2 Describing Data: Numerical
2.1 Measures of Central Tendency
2.2 Measures of Variability
2.3 Weighted Mean and Measures of Grouped Data
2.4 Measures of Relationships Between Variables
Chapter 3 Probability
3.1 Random Experiment, Outcomes, Events
3.2 Probability and Its Postulates
3.3 Probability Rules
3.4 Bivariate Probabilities
3.5 Bayesrsquo; Theorem
Chapter 4 Discrete Random Variables and Probability Distributions
4.1 Random Variables
4.2 Probability Distributions for Discrete Random Variables
4.3 Properties of Discrete Random Variables
4.4 Binomial Distribution
4.5 Hypergeometric Distribution
4.6 The Poisson Probability Distribution
4.7 Jointly Distributed Discrete Random Variables
Chapter 5 Continuous Random Variables and Probability Distributions
5.1 Continuous Random Variables
5.2 Expectations for Continuous Random Variables
5.3 The Normal Distribution
5.4 Normal Distribution Approximation for Binomial Distribution
5.5 The Exponential Distribution
5.6 Jointly Distributed Continuous Random Variables
Chapter 6 Sampling and Sampling Distributions
6.1 Sampling from a Population
6.2 Sampling Distributions of Sample Means
6.3 Sampling Distributions of Sample Proportions
6.4 Sampling Distributions of Sample Variances
Chapter 7 Estimation: Single Population
7.1 Properties of Point Estimators
7.2 Confidence Interval Estimation of the Mean of a Normal Distribution: Population Variance Known
7.3 Confidence Interval Estimation of the Mean of a Normal Distribution: Population Variance Unknown
7.4 Confidence Interval Estimation of Population Proportion
7.5 Confidence Interval Estimation of the Variance of a Normal Distribution
7.6 Confidence Interval Estimation: Finite Populations
Chapter 8 Estimation: Additional Topics
8.1 Confidence Interval Estimation of the Difference Between Two Normal Population Means: Dependent Samples
8.2 Confidence Interval Estimation of the Difference Between Two Normal Population Means: Independent Samples
8.3 Confidence Interval Estimation of the Difference Between Two Population Proportions
8.4 Sample Size Determination: Large Populations
8.5 Sample Size Determination: Finite Populations
Chapter 9 Hypothesis Testing: Single Population
9.1 Concepts of Hypothesis Testing
9.2 Tests of the Mean of a Normal Distribution: Population Variance Known
9.3 Tests of the Mean of a Normal Distribution: Population Variance Unknown
9.4 Tests of the Population Proportion
9.5 Assessing the Power of a Test
9.6 Tests of the Variance of a Normal Distribution
Chapter 10 Hypothesis Testing: Additional Topics
10.1 Tests of the Difference Between Two Population Means: Dependent Samples
10.2 Tests of the Difference Between Two Normal Population Means: Independent Samples
10.3 Tests of the Difference Between Two Population Proportions
10.4 Tests of the Equality of the Variances Between Two Normally Distributed Populations
10.5 Some Comments on Hypothesis Testing
Chapter 11 Simple Regression
11.1 Overview of Linear Models
11.2 Linear Regression Model
11.3 Least Squares Coefficient Estimators
11.4 The Explanatory Power of a Linear Regression Equation
11.5 Statistical Inference: Hypothesis Tests and Confidence Intervals
11.6 Prediction
11.7 Correlation Analysis
11.8 Beta Measure of F