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Even You Can Learn Statistics A Guide for Everyone Who Has Ever Been Afraid of Statistics

ISBN-10: 0131467573
ISBN-13: 9780131467576
Edition: 2005
List price: $21.99
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Description: Now, there's an easy-to-use guide that will help you use statistics in youreveryday work or study. Experienced educators David Levine and DavidStephan help you learn statistics using plain English and with a minimum ofmathematics, but with many  More...

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Book details

List price: $21.99
Copyright year: 2005
Publisher: FT Press
Publication date: 9/14/2004
Binding: Paperback
Pages: 312
Size: 7.00" wide x 9.00" long x 1.00" tall
Weight: 1.342
Language: English

Now, there's an easy-to-use guide that will help you use statistics in youreveryday work or study. Experienced educators David Levine and DavidStephan help you learn statistics using plain English and with a minimum ofmathematics, but with many examples and worked-out problems.You'll benefit from reading a plain language definition for each statisticalconcept that is followed by an interpretation section that explains theimportance of the concept and how you can apply the concept to solveproblems. You'll learn about the common misconceptions about statistics thatpeople make, allowing you to better use statistics in your own work.Reinforcing your learning, you'll review lists of real-life examples orapplications of a concept or, for more advanced concepts, read completesolutions to statistical problems that include actual calculator and spreadsheetresults and illustrate how you can apply the concept to your own problems.You'll also be able to 'test yourself' at the end of a chapter to review theconcepts and methods that you leaned in the chapter.Unlike competitive books, included are 'Calculator Keys' and 'SpreadsheetSolutions' sections that provide detailed instructions for solving real problemswith a Texas Instruments statistical calculator or Microsoft Excel. For thosewith an interest in mathematics, optional 'Equation Blackboard' sections reviewthe equations that provide the foundations for important concepts.

Introduction
Fundamentals of Statistics
The Five Basic Words of Statistics
Population
Sample
Parameter
Statistic
Variable
The Branches of Statistics
Descriptive Statistics
Inferential Statistics
Sources of Data
Published Sources
Experiments
Surveys
Sampling Concepts
Sampling
Probability Sampling
Simple Random Sampling
Frame
Sample Selection Methods
Sampling With Replacement
Sampling Without Replacement
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Presenting Data in Charts and Tables
Presenting Categorical Data
The Summary Table
The Bar Chart
The Pie Chart
The Pareto Diagram
Two-Way Cross-Classification Tables
Presenting Numerical Data
The Frequency and Percentage Distribution
Histogram
The Dot Scale Diagram
The Time-Series Plot
The Scatter Plot
Misusing Graphs
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Descriptive Statistics for Numerical Variables
Measures of Central Tendency
The Mean
The Median
The Mode
Quartiles
Measures of Variation
The Range
The Variance and the Standard Deviation
Standard (Z) Scores
Shape of Distributions
Symmetrical Shape
Left-Skewed Shape
Right-Skewed Shape
The Box-and-Whisker Plot
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Probability
Getting Started with Probability
Event
Elementary Event
Random Variable
Probability
Collectively Exhaustive Events
Some Rules of Probability
Assigning Probabilities
Classical Approach
Empirical Approach
Subjective Approach
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Probability Distributions
Probability Distributions for Discrete Variables
Discrete Probability Distribution
The Expected Value of a Random Variable
Standard Deviation of a Random Variable ([sigma])
The Binomial and Poisson Probability Distributions
The Binomial Distribution
The Poisson Distribution
Continuous Probability Distributions and the Normal Distribution
Normal Distribution
Using Standard Deviation Units
Finding the Z Value from the Area Under the Normal Curve
The Normal Probability Plot
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Sampling Distributions and Confidence Intervals
Sampling Distributions
Sampling Distribution
Sampling Distribution of the Mean and the Central Limit Theorem
Sampling Distribution of the Proportion
What You Need to Know About Sampling Distributions
Sampling Error and Confidence Intervals
Sampling Error
Confidence Interval Estimate
Confidence Interval Estimate for the Mean Using the t Distribution ([sigma] Unknown)
t Distribution
Confidence Interval Estimation for the Proportion
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Fundamentals of Hypothesis Testing
The Null and Alternative Hypotheses
Null Hypothesis
Alternative Hypothesis
Hypothesis Testing Issues
Test Statistic
Practical Significance Versus Statistical Significance
Decision-Making Risks
Type I Error
Type II Error
Risk Trade-Off
Performing Hypothesis Testing
The p-Value Approach to Hypothesis Testing
p-Value
Types of Hypothesis Tests
Number of Groups
Relationship Stated in Alternative Hypothesis H[subscript 1]
Type of Variable
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Hypothesis Testing: Z and t Tests
Testing for the Difference Between Two Proportions
Testing for the Difference Between the Means of Two Independent Groups
Pooled-Variance t Test
Pooled-Variance t Test Assumptions
The Paired t Test
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Hypothesis Testing: Chi-Square Tests and the One-Way Analysis of Variance (ANOVA)
Chi-Square Test for Two-Way Tables
One-Way Analysis of Variance (ANOVA): Testing for the Differences Among the Means of More Than Two Groups
One-Way ANOVA
The Three Variances of ANOVA
ANOVA Summary Table
One-Way ANOVA Assumptions
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Regression Analysis
Basics of Regression Analysis
Simple Linear Regression
Determining the Simple Linear Regression Equation
Y intercept
Slope
Least-Squares Method
Regression Model Prediction
Measures of Variation
Regression Sum of Squares (SSR)
Error Sum of Squares (SSE)
Total Sum of Squares (SST)
The Coefficient of Determination
The Coefficient of Correlation
Standard Error of the Estimate
Regression Assumptions
Residual Analysis
Residual
Evaluating the Assumptions
Inferences About the Slope
t Test for the Slope
Confidence Interval Estimate of the Slope ([beta subscript 1])
Common Mistakes Using Regression Analysis
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
Quality and Six Sigma Management Applications of Statistics
Total Quality Management
Six Sigma Management
Six Sigma
The Six Sigma DMAIC Model
Control Charts
Special or Assignable Causes of Variation
Chance or Common Causes of Variation
Control Limits
The p Chart
The Parable of the Red Bead Experiment: Understanding Process Variability
Deming's Red Bead Experiment
Variables Control Charts for the Mean and Range
Important Equations
One-Minute Summary
Test Yourself
Answers to Test Yourself Questions
References
TI Statistical Calculator Settings and Microsoft Excel Settings
TI Statistical Calculator Settings
"Ready State" Assumptions
Menu Selections
Statistical Function Entries by Menus
Primary Key Legend Convention
Mode Settings
Calculator Clearing and Reset
Data Storage
Microsoft Excel Settings
Review of Arithmetic and Algebra
Assessment Quiz
Part 1
Part 2
Symbols
Addition
Subtraction
Multiplication
Division
Fractions
Exponents and Square Roots
Equations
Answers to Quiz
Part 1
Part 2
Statistical Tables
The Cumulative Standardized Normal Distribution
Critical Values of t
Critical Values of X[superscript 2]
Critical Values of F
Control Chart Factors
Using Microsoft Excel Wizards
Using the Chart Wizard
Choosing the Best Chart Options
Using the PivotTable Wizard
Using the Data Analysis Tools
Simple Linear Regression
Glossary
Index

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