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Covers all the basic concepts of statistics--descriptive study of data, probability, sampling variation, statistical inference, and special techniques for handling data--and illustrates them with practical examples that stimulate students' appreciation of the subject. Pays careful attention to the role of assumptions so that readers can develop a sophisticated approach to interpreting statistical results. Each chapter begins by identifying the practical goal underlying topics covered and ends with a summary of key ideas and formulas. Features many examples and exercises based on real-life settings, including the use of computers.

Tabla de contenidos provista por Syndetics

• 1 Introduction
• 1 What is Statistics?
• 2 Statistics in Our Everyday Life
• 3 Statistics in Aid of Scientific Inquiry
• 4 Two Basic Concepts- Population and Sample
• 5 The Purposeful Collection of Data
• 6 Statistics in Context
• 7 Objectives of Statistics
• 8 Review Exercises.
• 2 Organization and Description of Data
• 1 Introduction
• 2 Main Types of Data
• 3 Describing Data by Tables and Graphs
• 4 Measures of Center
• 5 Measures of Variation
• 6 Checking the Stability of the Observations over Time
• 7 More on Graphics
• 8 Statistics in Context
• 9 Review Exercises
• 3 Descriptive Study of Bivariate Data
• 1 Introduction
• 2 Summarization of Bivariate Categorical Data
• 3 A Designed Experiment for Making a Comparison
• 4 Scatter Diagram of Bivariate Measurement Data
• 5 The Correlation Coefficient- A Measure of Linear Relation
• 6 Prediction of One Variable from Another (Linear Regression)
• 7 Review Exercises
• 4 Probability
• 1 Introduction
• 2 Probability of an Event
• 3 Methods of Assigning Probability
• 4 Event Relations and Two Laws of Probability
• 5 Conditional Probability and Independence
• 6 Random Sampling from a Finite Population
• 7 Review Exercises
• 5 Probability Distributions
• 1 Introduction
• 2 Random Variables
• 3 Probability Distribution of a Discrete Random Variable
• 4 Expectation (Mean) and Standard Deviation of a Probability Distribution
• 5 Success and Failures- Bernoulli Trials
• 6 The Binomal Distribution
• 7 The Binomal Distribution in Context
• 8 Review Exercises
• 6 The Normal Distribution
• 1 Probability Model for a Continuous Random Variable
• 2 The Normal Distribution-Its General Features
• 3 The Standard Normal Distribution
• 4 Probability Calculations with Normal Distributions
• 5 The Normal Approximation to the Binomial
• 6 Checking the Plausibility of a Normal Model
• 7 Transforming Observations to Attain Near Normality
• 8 Review Exercises
• 7 Variation in Repeated Samples-Sampling Distribution
• 1 Introduction
• 2 The Sampling Distribution of a Statistic
• 3 Distribution of the Sample Mean and the Central Limit Theorem
• 4 Statistics in Context
• 5 Review Exercises
• 8 Drawing Inferences From Large Samples
• 1 Introduction
• 2 Point Estimation of Population Mean
• 3 Confidence Interval for a Population Mean
• 4 Testing Hypotheses about a Population Mean
• 5 Inferences about a Population Proportion
• 6 Review Exercises
• 9 Small-Sample Inferences for Normal Populations
• 1 Introduction
• 2 Independent Random Samples from Two Populations
• 3 Inferences about -Small Sample Size
• 4 Relationship between Tests and Confidence Intervals
• 5 Inferences about Standard Deviation (The Chi-Square D

Notas de autor provistas por Syndetics

Richard A. Johnson is the curator of the Sports Museum of New England & the author of "Young at Heart: The Story of Johnny Kelly." He lives in Boston, Massachusetts.

(Bowker Author Biography)