Statistical Misconceptions

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Analysis of Covarience
ANCOVA
ANOVA Summary Table
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Beta Errors
Beta Weight
Bivariate Correlation
Book's Companion Web Site
Book’s Companion Web Site
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Category=PBT
CI's Endpoint
CI’s Endpoint
common statistical misunderstandings
confidence interval interpretation
Credible Interval
data analysis misconceptions
Descriptive Statistics
Effect Size
effect size calculation
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Equal Variance Assumption
Estimation
Eta Squared
Hypothesis Testing
hypothesis testing errors
Independent Samples T-test
Interitem Correlation
Java Applet
Multiple Linear Regression
Nondirectional Alternative Hypothesis
Null Hypothesis
Partial Eta Squared
Post Hoc
Post Hoc Power
Power
Practical Significance
Priori Power Analysis
Probability
Random Assignment
Regression
Reliability
research data validity
Sample Sizes
Sample's CI
Sample’s CI
Sampling
Standard Error Bars
statistical literacy
Suppressor Variable
t-Tests
Tukey's HSD
Tukey’s HSD
Tv Game Show
Validity
Vice Versa

Product details

  • ISBN 9781138120068
  • Weight: 589g
  • Dimensions: 152 x 229mm
  • Publication Date: 15 Dec 2015
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website.

The author’s accessible discussion of each misconception has five parts:

The Misconception - a brief description of the misunderstanding

Evidence that the Misconception Exists – examples and claimed prevalence

Why the Misconception is Dangerous – consequence of having the misunderstanding

Undoing the Misconception - how to think correctly about the concept

Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception.

The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook.

An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.

Schuyler W. Huck is Distinguished Professor and Chancellor's Teaching Scholar at the University of Tennessee - Knoxville. A prolific author on improving statistical instruction and helping consumers decipher research reports, his publications have been cited in over 337 journals.

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