Elementary Statistics, A Brief Version 5th Edition

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  • Edition: 5th
  • Format: Paperback
  • Copyright: 8/31/2009
  • Publisher: McGraw-Hill Science/Engineering/Math
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Elementary Statistics: A Brief Version, is a shorter version of the popular text Elementary Statistics: A Step by Step Approach. This softcover edition includes all the features of the longer book, but it is designed for a course in which the time available limits the number of topics covered. It is for general beginning statistics courses with a basic algebra prerequisite. The book is non-theoretical, explaining concepts intuitively and teaching problem solving through worked examples and step-by-step instructions. This edition places more emphasis on conceptual understanding and understanding results. This edition also features increased emphasis on Excel, MINITAB, and the TI-83 Plus and TI-84 Plus graphing calculators; computing technologies commonly used in such courses.

Table of Contents

The Nature of Probability and Statistics
Descriptive and Inferential Statistics
Variables and Types of Data
Data Collection and Sampling Techniques
Observational and Experimental Studies
Uses and Misuses of Statistics
Computers and Calculators
Frequency Distributions and Graphs
Organizing Data
Histograms, Frequency Polygons, and Ogives
Other Types of Graphs
Paired Data and Scatter Plots
Data Description
Measures of Central Tendency
Measures of Variation
Measures of Position
Exploratory Data Analysis
Probability and Counting Rules
Sample Spaces and Probability
The Addition Rules for Probability
The Multiplication Rules and Conditional Probability
Counting Rules
Probability and Counting Rules
Discrete Probability Distributions
Probability Distributions
Mean, Variance, Standard Deviation, and Expectation
The Binomial Distribution
The Normal Distribution
Normal Distributions
Applications of the Normal Distribution
The Central Limit Theorem
The Normal Approximation to the Binomial Distribution
Confidence Intervals and Sample Size
Confidence Intervals for the Mean When s Is Known and Sample Size
Confidence Intervals for the Mean When s Is Unknown
Confidence Intervals and Sample Size for Proportions
Confidence Intervals for Variances and Standard Deviations
Hypothesis Testing
Steps in Hypothesis Testing - Traditional Method
z Test for a Mean
t Test for a Mean
z Test for a Proportion
Chi-Square Test for a Variance or Standard Deviation
Confidence Intervals and Hypothesis Testing
Testing the Difference Between Two Means, Two Proportions, and Two Variances
Testing the Difference Between Two Means: Using the z Test
Testing the Difference Between Two Means of Independent Samples: Using the t Test
Testing the Difference Between Two Means: Dependent Samples
Testing the Difference Between Proportions
Testing the Difference Between Two Variances
Correlation and Regression
Coefficient of Determination and Standard Error of the Estimate
Chi-Square and Analysis of Variance (ANOVA)
Test for Goodness of Fit
Tests Using Contingency Tables
Analysis of Variance (ANOVA)
Algebra Review
Writing the Research Report
Alternate Approach to the Standard
Normal Distribution
Data Bank
Photo Credits
Selected Answers
Table of Contents provided by Publisher. All Rights Reserved.

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