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Statistics for Business and Economics,9780136085362
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Statistics for Business and Economics

by ; ;
Edition:
7th
ISBN13:

9780136085362

ISBN10:
0136085369
Format:
Hardcover
Pub. Date:
3/13/2009
Publisher(s):
Pearson

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Summary

A classic text for accuracy and statistical precision.Statistics for Business and Economicsenables 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

Describing Data: Graphical
Decision Making in an Uncertain Environment
Classification of Variables
Graphs to Describe Categorical Variables
Graphs to Describe Time-Series Data
Graphs to Describe Numerical Variables
Tables and Graphs to Describe Relationships Between Variables
Data Presentation Errors
Describing Data: Numerical
Measures of Central Tendency
Measures of Variability
Weighted Mean and Measures of Grouped Data
Measures of Relationships Between Variables
Probability
Random Experiment, Outcomes, Events
Probability and Its Postulates
Probability Rules
Bivariate Probabilities
Bayesrsquo; Theorem
Discrete Random Variables and Probability Distributions
Random Variables
Probability Distributions for Discrete Random Variables
Properties of Discrete Random Variables
Binomial Distribution
Hypergeometric Distribution
The Poisson Probability Distribution
Jointly Distributed Discrete Random Variables
Continuous Random Variables and Probability Distributions
Continuous Random Variables
Expectations for Continuous Random Variables
The Normal Distribution
Normal Distribution Approximation for Binomial Distribution
The Exponential Distribution
Jointly Distributed Continuous Random Variables
Sampling and Sampling Distributions
Sampling from a Population
Sampling Distributions of Sample Means
Sampling Distributions of Sample Proportions
Sampling Distributions of Sample Variances
Estimation: Single Population
Properties of Point Estimators
Confidence Interval Estimation of the Mean of a Normal Distribution: Population Variance Known
Confidence Interval Estimation of the Mean of a Normal Distribution: Population Variance Unknown
Confidence Interval Estimation of Population Proportion
Confidence Interval Estimation of the Variance of a Normal Distribution
Confidence Interval Estimation: Finite Populations
Estimation: Additional Topics
Confidence Interval Estimation of the Difference Between Two Normal Population Means: Dependent Samples
Confidence Interval Estimation of the Difference Between Two Normal Population Means: Independent Samples
Confidence Interval Estimation of the Difference Between Two Population Proportions
Sample Size Determination: Large Populations
Sample Size Determination: Finite Populations
Hypothesis Testing: Single Population
Concepts of Hypothesis Testing
Tests of the Mean of a Normal Distribution: Population Variance Known
Tests of the Mean of a Normal Distribution: Population Variance Unknown
Tests of the Population Proportion
Assessing the Power of a Test
Tests of the Variance of a Normal Distribution
Hypothesis Testing: Additional Topics
Tests of the Difference Between Two Population Means: Dependent Samples
Tests of the Difference Between Two Normal Population Means: Independent Samples
Tests of the Difference Between Two Population Proportions
Tests of the Equality of the Variances Between Two Normally Distributed Populations
Some Comments on Hypothesis Testing
Simple Regression
Overview of Linear Models
Linear Regression Model
Least Squares Coefficient Estimators
The Explanatory Power of a Linear Regression Equation
Statistical Inference: Hypothesis Tests and Confidence Intervals
Prediction
Correlation Analysis
Beta Measure of F
Table of Contents provided by Publisher. All Rights Reserved.


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