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BSTAT (with Review Cards and Printed Access Card)

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ISBN-10: 0538479825

ISBN-13: 9780538479820

Edition: 2012

Authors: Gerald Keller

List price: $45.99
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Created through a "student-tested, faculty-approved" review process with nearly 100 students and faculty, BSTAT is an engaging and accessible solution to accommodate the diverse lifestyles of today's learners. Written by leading statistics expert and best-selling statistics author Gerald Keller, BSTAT emphasizes applications rather than calculations while vividly demonstrating the vital role of statistics for today's business managers. Readers learn the author's hallmark, three-step approach to using statistical tools to solve actual business problems as they learn to identify the correct technique, compute the statistics, and interpret the results within the correct context.
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Book details

List price: $45.99
Copyright year: 2012
Publisher: Cengage South-Western
Publication date: 10/7/2011
Binding: Paperback
Pages: 352
Size: 8.50" wide x 11.00" long x 0.50" tall
Weight: 1.936

Dr. Gerald Keller is Emeritus Professor of Business at Wilfrid Laurier University, where he taught statistics, management science, and operations management from 1974 to 2011. He also taught at the University of Toronto, the University of Miami, McMaster University, the University of Windsor, and the Beijing Institute of Science and Technology. In addition to consulting with banks on credit scoring and credit card fraud, Dr. Keller has conducted market surveys for the Canadian government on energy conservation. His books include BSTAT, 2e, APPLIED STATISTICS WITH MICROSOFT EXCEL, ESSENTIALS OF BUSINESS STATISTICS (co-authored), AUSTRALIAN BUSINESS STATISTICS (co-authored), and STATISTICS…    

What is Statistics?
Key Statistical Concepts
Large Real Datasets
Statistics and the Computer
Graphical Descriptive Techniques
Types of Data and Information
Bar and Pie Charts
Histograms and Stem-and-Leaf Displays
Line Charts
Scatter Diagrams
Numerical Descriptive Techniques
Measures of Central Location
Measures of Variability
Measures of Relative Standing and Box Plots
Measures of Linear Relationship
Data Collection and Sampling
Methods of Collecting Data
Sampling Plans
Sampling and Nonsampling Errors
Assigning Probability to Events
Joint, Marginal, and Conditional Probability
Probability Rules and Trees
Identifying the Correct Method
Random Variables and Discrete Probability Distributions
Random Variables and Probability Distributions
Binomial Distribution
Poisson Distribution
Continuous Probability Distributions
Probability Density Functions
Normal Distribution
Other Continuous Distributions (Student t, Chi-squared, F)
Sampling Distributions
Sampling Distribution of the Mean
Sampling Distribution of a Proportion
From Here to Inference
Introduction to Estimation
Concepts of Estimation
Estimating the Population Proportion
Selecting the Sample Size to Estimate a Proportion
Introduction to Hypothesis Testing
Concepts of Hypothesis Testing
Testing the Population Proportion
Calculating the Probability of a Type II Error
The Road Ahead
Inference about One Population
Inference about a Population Mean (' Unknown)
Inference about a Population Variance
Review of Inference about a Population Proportion
Inference About Two Populations, Part I
Inference about the Difference between Two Means: Independent Samples
Observational and Experimental Data
Inference about the Difference between Two Means: Matched Pairs Experiment
Inference about Two Populations, Part II
Inference about the Ratio of Two Variances
Inference about the Difference between Two Population Proportions
Analysis of Variance
One Way Analysis of Variance
Multiple Comparisons
Randomized Blocks (Two Way) Analysis of Variance
Chi-Squared Tests
Chi-Squared Goodness-of-Fit Test
Chi-Squared Test of a Contingency Table
Simple Linear Regression
Estimating the Coefficients
Error Variable: Required Conditions
Assessing the Model
Using the Regression Equation
Regression Diagnostics � I
Multiple Regression
Model and Required Conditions
Estimating the Coefficients and Assessing the Model Regression Diagnostics � II Regression Diagnostics- III (Time Series)
Review of Statistical Inference
Data File Sample Statistics
Answers to Selected Even-Numbered Exercises