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Elementary Statistics : A Brief Versionby Bluman, Allan G.
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Questions About This Book?
What version or edition is this?
This is the 4th edition with a publication date of 9/29/2006.
What is included with this book?
- The Used copy of this book is not guaranteed to include any supplemental materials. Typically, only the book itself is included.
Elementary Statistics: A Brief Version, 4th Edition is a shorter version of Allan Bluman's popular text Elementary Statistics: A Step by Step Approach, 6th edition. This softcover edition includes all the features of the longer book, but is designed for a course in which the time available limits the number of topics covered. The book is written for general beginning statistics courses with a basic algebra prerequisite. The book use a non-theoretical approach, explaining concepts intuitively and teaching problem solving through worked examples step-by-step.
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|
|Histograms, Frequency Polygons, and Ogives|
|Other Types of Graphs|
|Paired Data and Scatter Plots Ana|
|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|
|Probability and Counting Rules|
|Discrete Probability Distributions|
|Mean, Variance, Standard Deviation, and Expectation|
|The Binomial Distribution|
|The Normal Distribution|
|Properties of the Normal Distribution|
|The Standard Normal Distribution|
|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 (Sigma Known or n > 30) and Sample Size|
|Confidence Intervals for the Mean (Sigma Unknown and n< 30)|
|Confidence Intervals and Sample Size for Proportions|
|Confidence Intervals for Variances and Standard Deviations|
|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|
|Additional Topics Regarding Hypothesis Testing|
|Testing the Difference Between Two Means, Two Variances, and Two Proportions|
|Testing the Difference Between Two Means: Large Samples|
|Testing the Difference Between Two Variances|
|Testing the Difference Between Two Means: Small Independent Samples|
|Testing the Difference Between Two Means: Small Dependent Samples|
|Testing the Difference Between Two Proportions|
|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)|
|Writing the Research Report|
|Alternate Approach to the Standard Normal Distribution|
|Table of Contents provided by Publisher. All Rights Reserved.|