Basic Statistics for Business and Economics

other_versions_link
Bibliographic Details
Main Author: Douglas A Lind
Other Authors: Robert Deward Mason; William G Marchal
Format: Printed Book
Published: McGraw-Hill 2006
Edition:International Edition
Subjects:
Social sciences > Statistical methods. Economics > Statistical methods. Industrial management > Statistical methods.
Table of Contents:
  • What Is Statistics?
  • Introduction
  • Why Study Statistics?
  • What Is Meant by Statistics?
  • Types of Statistics
  • Descriptive Statistics
  • Inferential Statistics
  • Types of Variables
  • Levels of Measurement
  • Nominal-Level Data
  • Ordinal-Level Data
  • Interval-Level Data
  • Ratio-Level Data
  • Exercises
  • Statistics, Graphics, and Ethics
  • Misleading Statistics
  • Association Does Not Necessarily Imply Causation
  • Graphs Can Be Misleading
  • Become a Better Consumer and a Better Producer of Information
  • Ethics
  • Software Applications
  • Chapter Outline
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Answers to Self-Review
  • Describing Data: Frequency Distributions and Graphic Presentation
  • Introduction
  • Constructing a Frequency Distribution
  • ClassIntervals and Class Midpoints
  • A Software Example
  • Relative Frequency Distribution
  • Exercises
  • Graphic Presentation of a Frequency Distribution
  • Histogram
  • Frequency Polygon
  • Exercises
  • Cumulative Frequency Distributions
  • Exercises
  • Other Graphic Presentations of Data
  • Line Graphs
  • Bar Charts
  • Pie Charts
  • Exercises
  • Chapter Outline
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Describing Data: Numerical Measures
  • Introduction
  • The Population Mean
  • The Sample Mean
  • Properties of the Arithmetic Mean
  • Exercises
  • The Weighted Mean
  • Exercises
  • The Median
  • The Mode
  • Exercises
  • Software Solution
  • The Relative Positions of the Mean, Median, and Mode
  • Exercises
  • The Geometric Mean
  • Exercises
  • Why Study Dispersion?
  • Measures of Dispersion
  • Range
  • Mean Deviation
  • Exercises
  • Variance and Standard Deviation
  • Exercises
  • Software Solution
  • Exercises
  • Interpretation and Uses of the Standard Deviation
  • Chebyshev's Theorem
  • The Empirical Rule
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Describing Data: Displaying and Exploring Data
  • Introduction
  • Dot Plots
  • Exercises
  • Quartiles, Deciles, and Percentiles
  • Exercises
  • Box Plots
  • Exercises
  • Skewness
  • Exercises
  • Describing the Relationship between Two Variables
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • A Survey of Probability Concepts
  • Introduction
  • What Is a Probability?
  • Approaches to Assigning Probabilities
  • Classical Probability
  • Empirical Probability
  • Subjective Probability
  • Exercises
  • Some Rules for Computing Probabilities
  • Rules of Addition
  • Exercises
  • Rules of Multiplication
  • Contingency Tables
  • Tree Diagrams
  • Exercises
  • Principles of Counting
  • The Multiplication Formula
  • The Permutation Formula
  • The Combination Formula
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Discrete Probability Distributions
  • Introduction
  • What Is a Probability Distribution?
  • Random Variables
  • Discrete Random Variable
  • Continuous Random Variable
  • The Mean, Variance, and Standard Deviation of a Probability Distribution
  • Mean
  • Variance and Standard Distribution
  • Exercises
  • Binomial Probability Distribution
  • How Is a Binomial Probability Distribution Computed
  • Binomial Probability Tables
  • Exercises
  • Cumulative Binomial Probability Distributions
  • Exercises
  • Poisson Probability Distribution
  • Exercises
  • Chapter Outline
  • Chapter Exercises
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Continuous Probability Distributions
  • Introduction
  • The Family of Uniform Distributions
  • Exercises
  • The Family of Normal Probability Distributions
  • The Standard Normal Distribution
  • The Empirical Rule
  • Exercises
  • Finding Areas under the Normal Curve
  • Exercises
  • Exercises
  • Exercises
  • Chapter Outline
  • Chapter Exercises
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Sampling Methods and the Central Limit Theorem
  • Introduction
  • Sampling Methods
  • Reasons to Sample
  • Simple Random Sampling
  • Systematic Random Sampling
  • Stratified Random Sampling
  • Cluster Sampling
  • Exercises
  • Sampling "Error"
  • Sampling Distribution of the Sample Mean
  • Exercises
  • The Central Limit Theorem
  • Exercises
  • Using the Sampling Distribution of the Sample Mean
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Estimation and Confidence Intervals
  • Introduction
  • Point Estimates and Confidence Intervals
  • Known (sigma) or a Large Sample
  • A Computer Simulation
  • Exercises
  • Unknown Population Standard Deviation and a Small Sample
  • Exercises
  • A Confidence Interval for a Proportion
  • Exercises
  • Finite-Population Correction Factor
  • Exercises
  • Choosing an Appropriate Sample Size
  • Exercises
  • Chapter Outline. Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • One-Sample Tests of Hypothesis
  • Introduction
  • What Is a Hypothesis?
  • What Is Hypothesis Testing?
  • Five-Step Procedure for Testing a Hypothesis
  • State the Null Hypothesis (H(subscript
  • Select a Level of Significance
  • Select the Test Statistic
  • Formulate the Decision Rule
  • Make a Decision
  • One-Tailed and Two-Tailed Tests of Significance
  • Testing for a Population Mean with a Known Population Standard Deviation
  • A Two-Tailed Test
  • A One-Tailed Test
  • P-Value in Hypothesis Testing
  • Testing for a Population Mean: Large Sample, Population Standard Deviation Unknown
  • Exercises
  • Tests Concerning Proportions
  • Exercises
  • Testing for a Population Mean: Small Sample, Population Standard Deviation Unknown
  • Exercises
  • A Software Solution
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Two-Sample Tests of Hypothesis
  • Introduction
  • Two-Sample Tests of Hypothesis: Independent Samples
  • Exercises
  • Two-Sample Tests about Proportions
  • Exercises
  • Comparing Population Means with Small Samples
  • Exercises
  • Two-Sample Tests of Hypothesis: Dependent Samples
  • Comparing Dependent and Independent Samples
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Analysis of Variance
  • Introduction
  • The F Distribution
  • Comparing Two Population Variances
  • Exercises
  • ANOVA Assumptions
  • The ANOVA Test
  • Exercises
  • Inferences about Pairs of Treatment Means
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Linear Regression and Correlation
  • Introduction
  • What Is Correlation Analysis?
  • The Coefficient of Correlation
  • The Coefficient of Determination
  • Correlation and Cause
  • Exercises
  • Testing the Significance of the Correlation Coefficient
  • Exercises
  • Regression Analysis
  • Least Squares Principle
  • Drawing the Line of Regression
  • Exercises
  • The Standard Error of Estimate
  • Assumptions Underlying Linear Regression
  • Exercises
  • Confidence and Prediction Intervals
  • Exercises
  • More on the Coefficient of Determination
  • Exercises
  • The Relationships among the Coefficient of Correlation, the Coefficient of Determination, and the Standard Error of Estimate
  • Transforming Data
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Multiple Regression and Correlation Analysis
  • Introduction
  • Multiple Regression Analysis
  • Inferences in Multiple Linear Regression
  • Exercises
  • Multiple Standard Error of Estimate
  • Assumptions about Multiple Regression and Correlation
  • The ANOVA Table
  • Exercises
  • Evaluating the Regression Equation
  • Using a Scatter Diagram
  • Correlation Matrix
  • Global Test: Testing the Multiple Regression Model
  • Evaluating Individual Regression Coefficients
  • Qualitative Independent Variables
  • Exercises
  • Analysis of Residuals
  • Chapter
  • Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • Chi-Square Applications
  • Introduction
  • Goodness-of-Fit Test: Equal Expected Frequencies
  • Exercises
  • Goodness-of-Fit Test: Unequal Expected Frequencies
  • Limitations of Chi-Square
  • Exercises
  • Contingency Table Analysis
  • Exercises
  • Chapter Outline
  • Pronunciation Key
  • Chapter Exercises
  • Exercises.com
  • Dataset Exercises
  • Software Commands
  • Answers to Self-Review
  • CD ChaptersStatistical Quality ControlTime Series and ForecastingAppendixesTablesBinomial Probability Distribution
  • Critical Values of Chi-Square
  • Poisson Distribution
  • Areas under the Normal Curve
  • Table of Random Numbers
  • Student's t Distribution
  • Critical Values of the F Distribution
  • Wilcoxon T Values
  • Factors for Control Charts
  • DatasetsReal Estate
  • Major League Baseball
  • Wages and Wage Earners
  • CIA International Economic and Demographic Data
  • Whitner Autoplex
  • Getting Started with Megastat
  • Visual Statistics
  • Answers to Odd-Numbered Exercises
  • Photo Credits
  • Index.

Similar Items