Statistics for Business and Economics. 7th edition. Newbold, Carlson, Thorne

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Item specifics

Condition
Acceptable
A book with obvious wear. May have some damage to the cover but integrity still intact. The binding may be slightly damaged but integrity is still intact. Possible writing in margins, possible underlining and highlighting of text, but no missing pages or anything that would compromise the legibility or understanding of the text. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
Seller Notes
“Cover's phone layer is peeling at folds.”
ISBN
9780136085362
Subject Area
Business & Economics
Publication Name
Statistics for Business and Economics
Publisher
Prentice Hall PTR
Item Length
10 in
Subject
Statistics
Publication Year
2009
Type
Textbook
Format
Hardcover
Language
English
Item Height
0.6 in
Author
William Carlson, Betty Thorne, Paul Newbold
Item Weight
69.5 Oz
Item Width
8 in
Number of Pages
1008 Pages
Category

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0136085369
ISBN-13
9780136085362
eBay Product ID (ePID)
1962287

Product Key Features

Number of Pages
1008 Pages
Publication Name
Statistics for Business and Economics
Language
English
Publication Year
2009
Subject
Statistics
Type
Textbook
Subject Area
Business & Economics
Author
William Carlson, Betty Thorne, Paul Newbold
Format
Hardcover

Dimensions

Item Height
0.6 in
Item Weight
69.5 Oz
Item Length
10 in
Item Width
8 in

Additional Product Features

Edition Number
7
Intended Audience
College Audience
LCCN
2010-483072
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
519.5024658
Table Of Content
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 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
Synopsis
For business statistics courses taught in Economics and Business Schools 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., 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.

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