Statistical Misconceptions by Huck

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“Used book in good condition. Shows typical wear. Quick shipping. Satisfaction guaranteed!”
Book Title
Statistical Misconceptions
Topic
Research
Narrative Type
Research
Genre
N/A
Intended Audience
N/A
ISBN
9780805859041
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Routledge
ISBN-10
0805859047
ISBN-13
9780805859041
eBay Product ID (ePID)
70938051

Product Key Features

Number of Pages
312 Pages
Publication Name
Statistical Misconceptions
Language
English
Publication Year
2008
Subject
General, Statistics
Type
Textbook
Author
Schuyler W. Huck
Subject Area
Education, Psychology
Format
Trade Paperback

Dimensions

Item Height
0.6 in
Item Weight
15.2 Oz
Item Length
8.9 in
Item Width
6.1 in

Additional Product Features

Intended Audience
College Audience
LCCN
2008-019136
Dewey Edition
22
Reviews
"There is a great need for a text to discuss the misconceptions in order to eliminate the myths... The author writes exceptionally well." -Nancy L. Leech, University of Colorado at Denver "I sometimes feel that I spend as much time getting my students to 'unlearn' wrong ideas as I do getting them to learn new material ... I have always been impressed by the clarity of Dr. Huck's writing ... I could well imagine adopting the book as a secondary text in the graduate-level introductory psychology statistics course [and] recommend it to students who come to me for statistical consulting." -Scott Maxwell, University of Notre Dame "Readable, great examples... and actually fun... The Internet exercises will go a long way in terms of illustrating the misconception... [useful] at either the undergraduate or graduate level." - Richard Lomax, The Ohio State University "[An] innovative and much-needed focus on the misconceptions that abound around statistical methods ... I consider [the author's books] to be among the best ... available for the undergraduate curriculum." -Joseph S. Rossi, University of Rhode Island, "There is a great need for a text to discuss the misconceptions in order to eliminate the myths... The author writes exceptionally well." - Nancy L. Leech, University of Colorado at Denver "I sometimes feel that I spend as much time getting my students to 'e~unlearn'e(tm) wrong ideas as I do getting them to learn new material ... I have always been impressed by the clarity of Dr. Huck'e(tm)s writing ... I could well imagine adopting the book as a secondary text in the graduate-level introductory psychology statistics course [and] recommend it to students who come to me for statistical consulting." - Scott Maxwell, University of Notre Dame "Readable, great examples... and actually fun... The Internet exercises will go a long way in terms of illustrating the misconception... [useful] at either the undergraduate or graduate level." - Richard Lomax, The Ohio State University "[An] innovative and much-needed focus on the misconceptions that abound around statistical methods ... I consider [the author's books] to be among the best ... available for the undergraduate curriculum." - Joseph S. Rossi, University of Rhode Island, "There is a great need for a text to discuss the misconceptions in order to eliminate the myths... The author writes exceptionally well." - Nancy L. Leech, University of Colorado at Denver "I sometimes feel that I spend as much time getting my students to 'unlearn' wrong ideas as I do getting them to learn new material ... I have always been impressed by the clarity of Dr. Huck's writing ... I could well imagine adopting the book as a secondary text in the graduate-level introductory psychology statistics course [and] recommend it to students who come to me for statistical consulting." - Scott Maxwell, University of Notre Dame "Readable, great examples... and actually fun... The Internet exercises will go a long way in terms of illustrating the misconception... [useful] at either the undergraduate or graduate level." - Richard Lomax, The Ohio State University "[An] innovative and much-needed focus on the misconceptions that abound around statistical methods ... I consider [the author's books] to be among the best ... available for the undergraduate curriculum." - Joseph S. Rossi, University of Rhode Island
Illustrated
Yes
Dewey Decimal
155.4139
Table Of Content
Part 1. Descriptive Statistics. 1.1. Measures of Central Tendency. 1.2. The Mean of Means. 1.3. The Mode's Location. 1.4. The Standard Deviation. Part 2. Distributional Shape. 2.1. The Shape of the Normal Curve. 2.2. Skewed Distributions and Measures of Central Tendency. 2.3. Standard Scores and Normality. 2.4. Rectangular Distributions and Kurtosis. Part 3. Bivariate Correlation. 3.1. Correlation Coefficients. 3.2. Correlation and Causality. 3.3. The Effect of a Single Outlier on Pearson's r. 3.4. Relationship Strength and r. 3.5. The Meaning of r = 0. Part 4. Reliability and Validity. 4.1. Statistical Indices of Reliability and Validity. 4.2. Interrater Reliability. 4.3. Cronbach's Alpha and Unidimensionality. 4.4. Range Restriction and Predictive Validity. Part 5. Probability. 5.1. The Binomial Distribution and N. 5.2. A Random Walk With a Perfectly Fair Coin. 5.3. Two Goats and a Car. 5.4. Identical Birthdays. 5.5. The Sum of an Infinite Number of Numbers. 5.6.Being Diagnosed With a Rare Disease. 5.7. Risk Ratios and Odds Ratios. Part 6. Sampling. 6.1.The Character of Random Samples. 6.2. Random Replacements When Sampling. 6.3Precision and the Sampling Fraction. 6.4. Matched Samples. 6.5. Finite Versus Infinite Populations. Part 7. Estimation. 7.1. Interpreting a Confidence Interval. 7.2. Overlapping Confidence Intervals. 7.3. The Mean ± the Standard Error. 7.4. Confidence Intervals and Replication. Part 8. Hypothesis Testing. 8.1. Alpha and Type I Error Risk. 8.2. The Null Hypothesis. 8.3.Disproving Ho. 8.4. The Meaning of p. 8.5. Directionality and Tails. 8.6. The Relationship Between Alpha and Beta Errors. Part 9. t-Tests Involving One or Two Means. 9.1.Correlated t-Tests. 9.2. The Difference Between Two Means If p < .00001. 9.3. The Robustness of a t-Test When n1 = n2. Part 10. ANOVA and ANCOVA. 10.1. Pairwise Comparisons. 10.2. The Cause of a Significant Interaction. 10.3. Equal Covariate Means in ANCOVA. Part 11. Practical Significance, Power, and Effect Size. 11.1. Statistical Significance Versus Practical Significance. 11.2. A Priori and Post Hoc Power. 11.3. Eta Squared and Partial Eta Squared. Part 12. Regression. 12.1. Comparing Two rs; Comparing Two bs. 12.2. R2. 12.3. Predictor Variables that Are Uncorrelated with Y. 12.4. Beta Weights.
Synopsis
Brief and inexpensive, 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. Fun 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. Statistical Misconceptions is appropriate for courses taught in a variety of disciplines including psychology, medicine, education, nursing, business, and the social sciences. The book also will benefit independent researchers interested in undoing their statistical misconceptions.
LC Classification Number
BF39.H83 2008

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