CliffsNotes Statistics Quick Review

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

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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

Why You Need This Book
How to Use This Book
Hundreds of Practice Questions Online!
Types of Statistics
Numerical statistics
Pictorial statistics
Method of Statistical Inference
Steps in the Process
Making Predictions
Comparing Results
Common Statistics Mistakes
Graphic Displays
Bar Chart
Pie Chart
Dot Plot
Frequency Histogram
Relative Frequency Histogram
Frequency Polygon
Frequency Distribution
Box Plot (Box-and-Whiskers)
Scatter Plot
Numerical Measures
Measures of Central Tendency
Notation and formulae
Mean for grouped data
Median for grouped data
Symmetric distribution
Skewed curves
Measures of Variability
Deviation and variance
Standard deviation
Empirical rule: The normal curve
Shortcut formulae
Quartiles and interquartile range
Measurement Scales
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
Conditional Probability
Probability Distributions
Discrete vs. continuous variables
Total of probabilities of discrete variables
The Binomial
Binomial experiments
Binomial table
Mean and standard deviation
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
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
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 (ده2)
Resource Center
Common Mistakes
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