Statistics for Business and Economics & MathXL Student Access Card Package

A classic text for accuracy and statistical precision.

 

Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple canned applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.

The seventh edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.

(Pearson)

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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 Bayes’ 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...

(Pearson)