Title:
Statistics for business and economics
Personal Author:
Edition:
7th ed.
Publication Information:
New Jersey : Pearson Education, 2010.
Physical Description:
xxi, 963 p. : ill. ; 26 cm.
ISBN:
9780136085362
General Note:
Accompanied by compact disc : CP 033609
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 33000000010448 | XX(838548.1) | Open Access Book | Book | Searching... |
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Summary
Summary
A classic text for accuracy and statistical precision. Statistics for Business and Economics enables readers 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 Provides readers with the knowledge they need to become stronger analysts for managerial positions.
Table of Contents
| 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 |
