Student Study Guide to Accompany Statistics Alive!
3rd Edition
Published on 4. November 2020
Book
Paperback/Softback
288 pages
978-1-5443-2831-7 (ISBN)
Description
This affordable student study guide and workbook to accompany Wendy J. Steinberg and Matthew Price's Statistics Alive!, Third Edition, helps students get the added review and practice they need to improve their skills and master their Introduction to Statistics course.
Bundle and SAVE!
Student Study Guide to Accompany Statistics Alive!, Third Edition + Main Text
ISBN: 978-1-0718-3088-8
Bundle and SAVE!
Student Study Guide to Accompany Statistics Alive!, Third Edition + Main Text
ISBN: 978-1-0718-3088-8
More details
Edition
3rd Revised edition
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 217 mm
Width: 279 mm
Thickness: 13 mm
Weight
610 gr
ISBN-13
978-1-5443-2831-7 (9781544328317)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Wendy J. Steinberg
Student Study Guide to Accompany Statistics Alive! 2e by Wendy J. Steinberg
Book
01/2011
2nd Edition
SAGE Publications Inc
€29.00
Article exhausted; check for reprint
Persons
Wendy J. Steinberg entered academia midcareer, having spent the first part of her career in high-stakes test development. She holds a PhD in educational psychology with dual concentrations, one in measurement and the other in development and cognition. Teaching is her passion. She views education as a sacred task that teachers and students alike should treat with reverence. She wants this textbook in the hands of every statistics student so that tears will be banished forever from the classroom. A portion of the sale of each textbook goes to charity
Matthew Price holds a PhD in clinical psychology and has spent his career pursuing two goals. The first is helping victims of trauma and the second is teaching statistics. From his time in undergraduate statistics, he saw the challenge that this topic posed to many talented students. He has since spent many late nights making heads or tails out of how to teach the probability of heads and tails in an approachable and enjoyable manner. He is honored to assist in writing this textbook to continue to help all of those students who have yet to discover the awesomeness of stats.
Zoe Brier is a clinical psychology doctoral student at the University of Vermont.
Matthew Price holds a PhD in clinical psychology and has spent his career pursuing two goals. The first is helping victims of trauma and the second is teaching statistics. From his time in undergraduate statistics, he saw the challenge that this topic posed to many talented students. He has since spent many late nights making heads or tails out of how to teach the probability of heads and tails in an approachable and enjoyable manner. He is honored to assist in writing this textbook to continue to help all of those students who have yet to discover the awesomeness of stats.
Zoe Brier is a clinical psychology doctoral student at the University of Vermont.
Content
Module 1. Math Review, Vocabulary, and Symbols
Module 2. Measurement Scales
Module 3. Frequency and Percentile Tables
Module 4. Graphs and Plots
Module 5. Mode, Median, and Mean
Module 6. Range, Variance, and Standard Deviation
Module 7. Percent Area and the Normal Curve
Module 8. z Scores
Module 9. Score Transformations and Their Effects
Module 10. Probability Definitions and Theorems
Module 11. The Binomial Distribution
Module 12. Sampling, Variables, and Hypotheses
Module 13. Errors and Significance
Module 14. The z Score as a Hypothesis Test
Module 15. Standard Error of the Mean
Module 16. Normal Deviate Z Test
Module 17. One-Sample t Test
Module 18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates
Module 19. Standard Error of the Difference Between the Means
Module 20. t Test With Independent Samples and Equal Sample Sizes
Module 21. t Test With Unequal Sample Sizes
Module 22. t Test With Related Samples
Module 23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates
Module 24. ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares
Module 25. One-Way ANOVA: Independent Samples and Equal Sample Sizes
Module 26. Tukey HSD Test
Module 27. Scheffe Test
Module 28. Main Effects and Interaction Effects
Module 29. Factorial ANOVA
Module 30. One-Variable Chi-Square: Goodness of Fit
Module 31. Two-Variable Chi-Square: Test of Independence
Module 32. Measures of Effect Size
Module 33. Power and the Factors Affecting It
Module 34. Relationship Strength and Direction
Module 35. Pearson r
Module 36. Correlation Pitfalls
Module 37. Linear Prediction
Module 38. Standard Error of Prediction
Module 39. Introduction to Multiple Regression
Module 40. Selecting the Appropriate Analysis
Module 2. Measurement Scales
Module 3. Frequency and Percentile Tables
Module 4. Graphs and Plots
Module 5. Mode, Median, and Mean
Module 6. Range, Variance, and Standard Deviation
Module 7. Percent Area and the Normal Curve
Module 8. z Scores
Module 9. Score Transformations and Their Effects
Module 10. Probability Definitions and Theorems
Module 11. The Binomial Distribution
Module 12. Sampling, Variables, and Hypotheses
Module 13. Errors and Significance
Module 14. The z Score as a Hypothesis Test
Module 15. Standard Error of the Mean
Module 16. Normal Deviate Z Test
Module 17. One-Sample t Test
Module 18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates
Module 19. Standard Error of the Difference Between the Means
Module 20. t Test With Independent Samples and Equal Sample Sizes
Module 21. t Test With Unequal Sample Sizes
Module 22. t Test With Related Samples
Module 23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates
Module 24. ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares
Module 25. One-Way ANOVA: Independent Samples and Equal Sample Sizes
Module 26. Tukey HSD Test
Module 27. Scheffe Test
Module 28. Main Effects and Interaction Effects
Module 29. Factorial ANOVA
Module 30. One-Variable Chi-Square: Goodness of Fit
Module 31. Two-Variable Chi-Square: Test of Independence
Module 32. Measures of Effect Size
Module 33. Power and the Factors Affecting It
Module 34. Relationship Strength and Direction
Module 35. Pearson r
Module 36. Correlation Pitfalls
Module 37. Linear Prediction
Module 38. Standard Error of Prediction
Module 39. Introduction to Multiple Regression
Module 40. Selecting the Appropriate Analysis