Books  Data Analysis & Modelling  Data Analysis & Statistics 

Interactive Statistics for the Behavioral Sciences

TextbookOut of Print

By: Pepper Williams

Tabs, figs

Sinauer Associates

Paperback | Oct 2003 | #142858 | ISBN: 087893930X
Out of Print Details

About this book

The CD and textbook cover topics of behavioral science including: descriptive statistics, the logic of hypothesis testing, t-tests, power analysis, confidence intervals, analysis of variance, correlation/regression, and nonparametric inferential statistics.


Contents

PART 1: Introduction to Statistics - Statistics in Society and Science - Descriptive and Inferential Statistics - Populations and Samples - Statistical Notation - Chapter Summary/Review - PART 2: Looking at Data: Frequency Distributions - Organizing Data - Frequency Distribution Tables - Frequency Distribution Histograms - Describing Distributions - Chapter Summary/Review - PART 3: Describing Data: Measuring Center and Spread - The Need to Describe - Measuring Center: The Mean - Measuring Spread: The Standard Deviation - Resistant Measures of Center and Spread - Correlation - z-Scores - Chapter Summary/Review - PART 4: Preparing To Test Hypotheses - Probability - Normal Distributions - The Central Limit Theorem - Chapter Summary/Review - PART 5: From Samples to Populations: Hypothesis Testing with z - What Counts as a "Significant" Increase? - Logic of Hypothesis Testing - Hypothesis Testing with z-Scores - Directional Hypothesis Tests - Hypothesis Test Assumptions - Evaluating Evidence - Chapter Summary/Review - PART 6: Practical Hypothesis Testing with t - The Problem with z - The t Statistic - Hypothesis Testing for Single Samples with t - Assumptions for t Tests - Reporting Hypothesis Tests - When Should You Use t vs. z? - What You Can Test with t - Chapter Summary/Review - PART 7: Making and Avoiding Hypothesis Test Errors - When Hypothesis Tests Fail - Fishing for Significance - Reporting Failed Hypothesis Tests - Power - Chapter Summary/Review - PART 8: t Tests for Two Means - Two-Condition Experimental Designs - Repeated Measures - Independent Samples - Assumptions for Two-Condition t Tests - Comparing Two-Condition Designs - Chapter Summary/Review - PART 9: Confidence Intervals - Estimation - Constructing Confidence Intervals - Confidence Intervals - Chapter Summary/Review - PART 10: Inference for Three or More Means: Analysis of Variance (ANOVA) - Introduction to ANOVA - The Logic of ANOVA - Testing Hypotheses with Independent-Samples ANOVA - ANOVA for Related Samples - Further Analysis of Multicondition Datasets - F vs. t - Multiple-Factor ANOVA - Chapter Summary/Review - PART 11: Describing Relationships: Correlation and Regression - Covariability - Characteristics of Relationships - The Pearson Correlation - Linear Regression - Using Correlation and Regression in Research - Multiple Regression/Correlation - Chapter Summary/Review - PART 12: Inference for Categorical Data: Chi-Square Tests - Categorical Data - Testing One Sample: The Chi-Square Goodness-of-Fit Test - Testing Two Related Samples: The Sign Test - Testing Independent Samples: The Test for Independence - Testing Relationships between Categorical Variables - Opinion Polls and the Binomial Test - Chapter Summary/Review


Write a review

There are currently no reviews for this product. Be the first to review this product!


Biography

PEPPER WILLIAMS is Lecturer at Portland State University, USA.

Bestsellers in this subject

Choosing and Using Statistics

NHBS Price: £28.50 $36/€34 approx

Camera Trapping for Wildlife Research

NHBS Price: £34.99 $44/€41 approx

Statistics for Ornithologists

NHBS Price: £11.90 $15/€14 approx

The R Book

NHBS Price: £65.50 $83/€78 approx

Statistics for Ecologists Using R and Excel

NHBS Price: £29.99 $38/€36 approx