Elementary statistics / 6th ed.

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作   者:Neil A. Weiss ; biographies by Carol A. Weiss.

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ISBN:9780201771305

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简介

Elementary Statistics is appropriate for a one-semester introductory statistics course, with an algebra prerequisite. ES has a reputation for being thorough and precise, and for using real data extensively. Students find the book readable and clear, and the math level is right for the diverse population that takes the introductory statistics course. The text thoroughly explains and illustrates concepts through an abundance of worked out examples.

目录

Introduction
The Nature of Statistics
Case Study: Top Films of All Time
Two Kinds of Statistics
The Technology Center
Simple Random Sampling
Other Sampling Designs
Experimental Designs
Descriptive Statistics
Organizing Data
Case Study: Preventing Infant Mortality
Variables and Data
Grouping Data
Graphs and Charts
Stem-and-Leaf Diagrams
Distribution Shapes
Symmetry and Skewness
Misleading Graphs
Descriptive Measures
Case Study: New York Yankees Y2K Salaries
Measures of Center
The Sample Mean
Measures of Variation
The Sample Standard Deviation
The Five-Number Summary
Boxplots
Descriptive Measures for Populations
Use of Samples
Descriptive Methods in Regression and Correlation
Case Study: Fat Consumption and Prostate Cancer
Linear Equations With One Independent Variable
The Regression Equation
The Coefficient of Determination
Linear Correlation
Probability, Random Variables, And Sampling Distributions
Probability and Random Variables
Case Study: The Powerball
Probability Basics
Events
Some Rules of Probability
Discrete Random Variables and Probability Distributions
The Mean and Standard Deviation of a Discrete Random Variable
The Binomial Distribution
The Normal Distribution
Case Study: Chest Sizes of Scottish Militiamen
Introducing Normally Distributed Variables
Areas Under the Standard Normal Curve
Working With Normally Distributed Variables
Assessing Normality
Normal Probability Plots
The Sampling Distribution of the Sample Mean
Case Study: The Chesapeake and Ohio Freight Study
Sampling Error
The Need for Sampling Distributions
The Mean and Standard Deviation of x
The Sampling Distribution of the Sample Mean
Inferential Statistics
Confidence Intervals for One Population Mean
Case Study: The Chips Ahoy! 1,000 Chips Challenge
Estimating a Population Mean
Confidence Intervals for One Population Mean When F128s Is Known
Margin of Error
Confidence Intervals for One Population Mean When F128s Is Unknown
Hypothesis Tests for One Population Mean
Case Study: Sex and Sense of Direction
The Nature of Hypothesis Testing
Terms, Errors, and Hypotheses
Hypothesis Tests for One Population Mean When F128s Is Known
P-Values
Hypothesis Tests for One Population Mean When F128s is Unknown
Inferences for Two Population Means
Case Study: Breast Milk and IQ
The Sampling Distribution of the Difference Between Two Sample Means for Independent Samples
Inferences for Two Population Means Using Independent Samples: Standard Deviations Assumed Equal
Inferences for Two Population Means Using Independent Samples: Standard Deviations Not Assumed Equal
Inferences for Two Population Means Using Paired Samples
Inferences for Population Proportions
Case Study: Double-Dipping ATM Fees
Confidence Intervals for One Population Proportion
Hypothesis Tests for One Population Proportion
Inferences for Two Population Proportions Using Independent Samples
Chi-Square Procedures
Case Study: Road Rage
The Chi-Square Distribution
Chi-Square Goodness-Of-Fit Test
Contingency Tables
Association
Chi-Square Independence Test
Analysis of Variance (ANOVA)
Case Study: Heavy Drinking Among College Students
The F-Distribution
One-Way ANOVA: The Logic
One-Way ANOVA: The Procedure
Inferential Methods In Regression and Correlation
Case Study: Fat Consumption and Prostate Cancer
The Regression Model
Analysis of Residuals
Inferences for the Slope of the Population Regression Line
Estimation and Prediction
Inferences in Correlation
Appendixes
Statistical Tables
Answers To Selected Exercises
Index

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