Brief Introduction to Probability and Statistics

ISBN-10: 0534387772

ISBN-13: 9780534387778

Edition: 2002

Authors: William Mendenhall, Robert J. Beaver, Barbara M. Beaver

List price: $236.95
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This brief version of the authors' classic text retains the traditional outline for the coverage of descriptive and inferential statistics. The user-friendly presentation includes features such as Key Concepts and Formulas, and helps students grasp the material while not sacrificing the statistical integrity of the subject. MINITAB? (Versions 12 and 13) is used exclusively as the computer package for statistical analysis in this text.
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Book details

List price: $236.95
Copyright year: 2002
Publisher: Brooks/Cole
Publication date: 9/7/2001
Binding: Hardcover
Pages: 640
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 2.530
Language: English

Introduction: An Invitation to Statistics
The Population and the Sample
Descriptive and Inferential Statistics
Achieving the Objective of Inferential Statistics: The Necessary Steps
Describing Data with Graphs
Variables and Data
Types of Variables
Graphs for Categorical Data
Graphs for Quantitative Data
Relative Frequency Histograms
About Minitab--Introduction to Minitab
Case Study How Is Your Blood Pressure?
Describing Data with Numerical Measures
Describing a Set of Data with Numerical Measures
Measures of Center
Measures of Variability
On the Practical Significance of the Standard Deviation
A Check on the Calculation of s
Measures of Relative Standing
The Box Plot
About Minitab--Numerical Descriptive Measures
Case Study The Boys of Summer
Describing Bivariate Data
Bivariate Data
Graphs for Qualitative Variables
Scatterplots for Two Quantitative Variables
Numerical Measures for Quantitative Bivariate Data
About Minitab--Describing Bivariate Data
Case Study Do You Think Your Dishes Are Really Clean?
Probability and Probability Distributions
The Role of Probability in Statistics
Events and the Sample Space
Calculating Probabilities Using Simple Events
Useful Counting Rules (Optional)
Event Composition and Event Relations
Conditional Probability and Independence
Bayes' Rule (Optional)
Discrete Random Variables and Their Probability Distributions
About Minitab--Discrete Probability Distributions
Case Study Probability and Decision Making in the Congo
Several Useful Discrete Distributions
The Binomial Probability Distribution
The Poisson Probability Distribution
The Hypergeometric Probability Distribution
About Minitab--Binomial and Poisson Probabilities
Case Study A Mystery: Cancers Near a Reactor
The Normal Probability Distribution
Probability Distributions for Continuous Random Variables
The Normal Probability Distribution
Tabulated Areas of the Normal Probability Distribution
The Normal Approximation to the Binomial Probability Distribution (Optional)
About Minitab--Normal Probabilities
Case Study The Long and the Short of It
Sampling Distributions
Sampling Plans and Experimental Designs
Statistics and Sampling Distributions
The Central Limit Theorem
The Sampling Distribution of the Sample Mean
The Sampling Distribution of the Sample Proportion
A Sampling Application: Statistical Process Control (Optional)
About Minitab--The Central Limit Theorem at Work
Case Study Sampling the Roulette at Monte Carlo
Large-Sample Estimation
Where We've Been
Where We're Going--Statistical Inference
Types of Estimators
Point Estimation
Interval Estimation
Estimating the Difference Between Two Population Means
Estimating the Difference Between Two Binomial Proportions
One-Sided Confidence Bounds
Choosing the Sample Size
Case Study How Reliable Is That Poll?
Large-Sample Tests of Hypotheses
Testing Hypotheses about Population Parameters
A Statistical Test of Hypothesis
A Large-Sample Test about a Population Mean
A Large-Sample Test of Hypothesis for the Difference between Two Population Means
A Large-Sample Test of Hypothesis for a Binomial Proportion
A Large-Sample Test of Hypothesis for the Difference between Two Binomial Proportions
Some Comments on Testing Hypotheses
Case Study An Aspirin a Day ...?
Inference from Small Samples
Student's t Distribution
Small-Sample Inferences Concerning a Population Mean
Small-Sample Inferences for the Difference between Two Population Means: Independent Random Samples
Small-Sample Inferences for the Difference between Two Means: A Paired-Difference Test
Inferences Concerning a Population Variance
Comparing Two Population Variances
Revisiting the Small-Sample Assumptions
About Minitab--Small-Sample Testing and Estimation
Case Study How Would You Like a Four-Day Work Week?
The Analysis of Variance
The Design of an Experiment
What Is an Analysis of Variance?
The Assumptions for an Analysis of Variance
The Completely Randomized Design: A One-Way Classification
The Analysis of Variance for a Completely Randomized Design
Ranking Population Means
Revisiting the Analysis of Variance Assumptions
A Brief Summary
About Minitab--Analysis of Variance Procedures
Case Study "Are You at Risk?"
Linear Regression and Correlation
A Simple Linear Probabilistic Model
The Method of Least Squares
An Analysis of Variance for Linear Regression
Testing the Usefulness of the Linear Regression Model
Estimation and Prediction Using the Fitted Line
Revisiting the Regression Assumptions
Correlation Analysis
About Minitab--Linear Regression Procedures
Case Study Is Your Car "Made in the U.S.A."?
Analysis of Categorical Data
A Description of the Experiment
Pearson's Chi-Square Statistic
Testing Specified Cell Probabilities: The Goodness-of-Fit Test
Contingency Tables: A Two-Way Classification
Comparing Several Multinomial Populations: A Two-Way Classification with Fixed Row or Column Totals
The Equivalence of Statistical Tests
Other Applications of the Chi-Square Test
About Minitab--The Chi-Square Test
Case Study Can a Marketing Approach Improve Library Services?
Cumulative Binomial Probabilities
Cumulative Poisson Probabilities
Normal Curve Areas
Critical Values of t
Critical Values of Chi-Square
Percentage Points of the F Distribution
Random Numbers
Percentage Points of the Studentized Range, q(k, df)
Answers to Selected Exercises
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