CliffsNotes Statistics Quick Review

by Voelker, David H.; Orton, Peter Z.; Adams, Scott

• ISBN13: 9780470902608
• ISBN10: 0470902604
• Edition: 2nd
• Format: Paperback
• Copyright: 2011-05-31
• Publisher: HOUGHTON MIFFLIN (A)

Summary

Delivers the appropriate amount of expert coverage on statistics topics for consumers who need a supplement to a standard statistics text; who need to prepare for exams; or who need to brush up on the fundamentals of statistics Chapter Check-In gives readers an overview of what they'll learn in the chapter Chapter Check-Out reviews the chapter to enforce the items learned and help with comprehension Review section is a summary test on all chapter topics in the book -- great tool for teachers and students Resource Center directs reader to additional information available for the subject such as books and websites 500 practice questions available online at CliffsNotes.com and directly ties to each chapter in the book!

Table of Contents

Introduction

Why You Need This Book

How to Use This Book

Hundreds of Practice Questions Online!

Overview

Types of Statistics

Numerical statistics

Pictorial statistics

Method of Statistical Inference

Steps in the Process

Making Predictions

Comparing Results

Probability

Common Statistics Mistakes

Graphic Displays

Bar Chart

Pie Chart

Dot Plot

Ogive

Frequency Histogram

Relative Frequency Histogram

Frequency Polygon

Frequency Distribution

Stem-and-Leaf

Box Plot (Box-and-Whiskers)

Scatter Plot

Numerical Measures

Measures of Central Tendency

Mean

Median

Mode

Notation and formulae

Mean for grouped data

Median for grouped data

Symmetric distribution

Skewed curves

Measures of Variability

Range

Deviation and variance

Standard deviation

Notation

Empirical rule: The normal curve

Shortcut formulae

Percentile

Quartiles and interquartile range

Measurement Scales

Probability

Classic Theory

Relative Frequency Theory

Probability of Simple Events

Independent Events

Dependent Events

Probability of Joint Occurrences

Multiplication rule

Addition rule

Non-Mutually-Exclusive Outcomes

Double-Counting

Conditional Probability

Probability Distributions

Discrete vs. continuous variables

Total of probabilities of discrete variables

The Binomial

Binomial experiments

Binomial table

Mean and standard deviation

Sampling

Populations, Samples, Parameters, and Statistics

Sampling Distributions

Random and Systematic Error

Central Limit Theorem

Properties of the Normal Curve

Normal Approximation to the Binomial

Principles of Testing

Stating Hypotheses

The Test Statistic

One- and Two-Tailed Tests

Type I and II Errors

Significance

Point Estimates and Confidence Intervals

Estimating a Diff erence Score

Univariate Tests: An Overview

Univariate Inferential Tests

One-Sample z-test

Confidence interval for population mean using z

Choosing a sample size

One-Sample t-test

Confi dence interval for population mean using t

Two-Sample z-test for Comparing Two Means

Two-Sample t-test for Comparing Two Means

Confidence interval for comparing two means

Pooled variance method

Paired Difference t-test

Test for a Single Population Proportion

Confidence interval for a single population proportion

Choosing a sample size

Test for Comparing Two Proportions

Confidence interval for comparing two proportions

Bivariate Relationships

Correlation

Finding the significance of r

The coefficient of determination

Simple Linear Regression

Confidence interval for the slope

Confidence interval for prediction

Assumptions and cautions

Chi-Square (Ïç2)

Review

Resource Center

Glossary

Common Mistakes

Tables

Index

Table of Contents provided by Publisher. All Rights Reserved.