Basic Business Statistics : Concepts and Applications

by Mark L. Berenson; David M. Levine

• ISBN13: 9780133030099
• ISBN10: 0133030091
• Additional ISBN(s): 9780137956180
• Edition: 6th
• Format: Hardcover
• Copyright: 1994-12-01
• Publisher: Prentice Hall Professional Technical Reference
• More Book Details
• Purchase Benefits

Summary

Practical data-analytic approach to the teaching of business statistics through the development and use of a survey (and database) that integrates the various topics, permitting a cohesive study of the subject of business statistics.

Table of Contents

Introduction and Data Collection

Overview of Statistics

Applying Statistics to Business

How This Text Is Organized

The Importance of Collecting Data

Identifying Sources of Data

Design of Survey Research

Types of Survey Sampling Methods

Types of Data

Evaluating Survey Worthiness

Presenting Data in Tables and Charts

Organizing Numerical Data

Tables and Charts for Numerical Data

Graphing Bivariate Numerical Data

Tables and Charts for Categorical Data

Tabulating and Graphing Bivariate Categorical Data

Graphical Excellence

Numerical Descriptive Measures

Exploring Numerical Data and Their Properties

Measures of Central Tendency, Variation, and Shape

Obtaining Descriptive Summary Measures from a Population

Obtaining Descriptive Summary Measures from a Frequency Distribution

Exploratory Data Analysis

The Coefficient of Correlation

Pitfalls in Numerical Descriptive Measures and Ethical Issues

Basic Probability

Basic Probability Concepts

Conditional Probability

Bayes' Theorem

Counting Rules

Ethical Issues and Probability

Some Important Discrete Probability Distributions

The Probability Distribution for a Discrete Random Variable

Covariance and Its Application in Finance

Binomial Distribution

Hypergeometric Distribution

Poisson Distribution

CD ROM Topic Using the Poisson Distribution to Approximate the Binomial Distribution

The Normal Distribution and Other Continuous Distributions

The Normal Distribution

Evaluating the Normality Assumption

The Uniform Distribution

The Exponential Distribution

CD ROM Topic The Normal Approximation to the Binomial Distribution

Sampling Distributions

Sampling Distribution of the Mean

Sampling Distribution of the Proportion

CD ROM Topic Sampling from Finite Populations

Confidence Interval Estimation

Confidence Interval Estimation of the Mean (s Known)

Confidence Interval Estimation of the Mean (s Unknown)

Confidence Interval Estimation for the Proportion

Determining Sample Size

Applications of Confidence Interval Estimation in Auditing

Confidence Interval Estimation and Ethical Issues

CD ROM Topic Estimation and Sample Size Determination for Finite

Fundamentals of Hypothesis Testing: One-Sample Tests

Hypothesis-Testing Methodology

Z Test of Hypothesis for the Mean (s Known)

One-Tailed Tests

T Test of Hypothesis for the Mean (s Unknown)

Z Test of Hypothesis for the Proportion

X2 Test of Hypothesis for the Variance or Standard Deviation

Potential Hypothesis-Testing Pitfalls and Ethical Issues

CD ROM Topic The Power of a Test

Two Sample Tests with Numerical Data

Comparing Two Independent Samples: Tests for Differences in Two Means

F Test for Differences in Two Variances

Comparing Two Related Samples: Tests for the Mean Difference

Wilcoxon Rank Sum Test: Nonparametric Analysis for Two Independent Populations

Wilcoxon Signed-Ranks Test: Nonparametric Analysis for Two Related Populations

Analysis of Variance

The Completely Randomized Design: One-Way Analysis of Variance

The Randomized Block Design

The Factorial Design: Two-Way Analysis of Variance

Kruskal-Wallis Rank Test: Nonparametric Analysis for the One-Way Design

Friedman Rank Test: Nonparametric Analysis for the Randomized Block Design

Tests for Two or More Samples with Categorical Data

Z Test for the Difference between Two Proportions

Chi-Square Test for Differences between Two Proportions

Chi-Square Test for Differences in Among More than Two Proportions

Chi-Square Test of Independence

CD ROM Topic Chi-Square Goodness of Fit Tests

Simple Linear Regression

Types of Regression Models

Determining the Simple Linear Regression Equation

Measures of Variation

Assumptions

Residual Analysis

Measuring Autocorrelation: The Durbin-Watson Statistic

Inferences about the Slope and Correlation Coefficient

Estimation of Predicted Values

Pitfalls in Regression and Ethical Issues

Computations in Simple Linear Regression

Introduction to Multiple Regression

Developing the Multiple Regression Model

Residual Analysis for the Multiple Regression Model

Testing for the Significance of the Multiple Regression Model

Inferences Concerning the Population Regression Coefficients

Testing Portions of the Multiple Regression Model

Using Dummy-Variables and Interaction Terms in Regression Models

Introduction to Logistic Regression

Multiple Regression Model Building

The Quadratic Regression Model

Using Transformations in Regression Models

Influence Analysis

Collinearity

Model Building

Pitfalls in Multiple Regression and Ethical Issues

Time-Series Analysis

The Importance of Business Forecasting

Component Factors of the Classical Multiplicative Time-Series Model

Smoothing the Annual Time Series

Least-Squares Trend Fitting and Forecasting

The Holt-Winters Method for Trend Fitting and Forecasting

Autoregressive Modeling for Trend Fitting and Forecasting

Choosing an Appropriate Forecasting Model

Time-Series Forecasting of Monthly or Quarterly Data

Index Numbers

Pitfalls Concerning Time-Series Analysis

Decision Making

Payoff Tables and Decision Trees

Criteria for Decision Making

Decision Making with Sample Information

Utility

Statistical Applications in Quality and Productivity Management

Total Quality Management

Six Sigma“ Management

The Theory of Control Charts

Control Chart for the Proportion of Nonconforming Items The p Chart

The Red Bead Experiment: Understanding Process Variability

The c Chart

Control Charts for the Range and the Mean

Process Capability

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