Basic Statistical Analysis

ISBN-10: 0205495974
ISBN-13: 9780205495979
Edition: 8th 2007 (Revised)
List price: $157.40
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Description: 'Basic Statistical Analysis' presents students with rules of evidence and the logic behind those rules. The book is divided into three main units: Descriptive statistics, Inferential statistics, and Advanced topics in inferential statistics.

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Book details

List price: $157.40
Edition: 8th
Copyright year: 2007
Publisher: Allyn & Bacon, Incorporated
Publication date: 8/2/2006
Binding: Hardcover
Pages: 672
Size: 7.50" wide x 9.50" long x 1.00" tall
Weight: 2.838
Language: English

'Basic Statistical Analysis' presents students with rules of evidence and the logic behind those rules. The book is divided into three main units: Descriptive statistics, Inferential statistics, and Advanced topics in inferential statistics.

Descriptive Statistics
Introduction to Statistics
Stumbling Blocks to Statistics
A Brief Look at the History of Statistics
Benefits of a Course in Statistics
General Field of Statistics
Graphs and Measures of Central Tendency
Graphs
Measures of Central Tendency
Appropriate Use of the Mean, the Median, and the Mode
Variability
Measures of Variability
Graphs and Variability
Questionnaire Percentages
The Normal Curve and z Scores
The Normal Curve. z Scores
Translating Raw Scores into z Scores. z Score Translations in Practice
Fun with Your Calculator
z Scores Revisited: t Scores and Other Normal Curve Transformations
Other Applications of the z Score
The Percentile Table. t Scores
Normal Curve Equivalents
Stanines
Grade-Equivalent Scores: A Note of Caution
The Importance of the z Score
Probability
The Definition of Probability
Probability and Percentage Areas of the Normal Curve
Combining Probabilities for Independent Events
A Reminder about Logic
Inferential Statistics
Statistics and Parameters
Generalizing from the Few to the Many
Key Concepts of the Inferential Statistics
Techniques of Sampling
Exit Polling
Sampling Distributions
Back to z
Some Words of Encouragement
Parameter Estimates and Hypothesis Testing
The Standard Deviation Revisited
Estimating the Standard Error of the Mean
Estimating the Popular Mean: Interval Estimates and Hypothesis Testing
The t ratio
The Type 1 Error
Alpha Levels
Effect Size
Interval Estimates: No Hypothesis Needed
The Fundamentals of Research Methodology
Research Strategies
Independent and Dependent Variables
The Cause-and-Effect Trap
Theory of Measurement
Research: Experimental versus Post-Facto
The Experimental Method: The Case of Cause and Effect
Creating Equivalent Groups: The True Experiment
Designing the True Experiment
The Hawthorne Effect
Repeated Measure Designs with Separate Control Groups
Requirements for the True Experiment
Post-Facto Research
Combination Research
Research Errors
Experimental Error: Failure to Use an Adequate Control Group
Post-Facto Errors
Meta-Analysis
Methodology as a Basis for More Sophisticated Techniques
The Hypothesis of Difference
Sampling Distribution of Differences
Estimated Standard Error of Difference
Two-Sample t Test for Independent Samples
Significance
Two-Tail t Table
Alpha and Confidence Levels
Confidence Interval for Differences Between Two Independent Samples
The Minimum Difference
Outliers
One-Tail t Test
Importance of Having at Least Two Samples
Power
Effect Size
The Hypothesis of Association: Correlation
Cause and Effect
The Pearson r
Interclass versus Intraclass
Correlation Matrix
The Spearman r
An Important Difference between Correlation Coefficient and the t Test
Analysis of Variance
Advantages of ANOVA
Analyzing the Variance
Applications of ANOVA
The Factorial ANOVA
Eta squared and d

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