Frederick Gravetter, Larry Wallnau, Lori-Ann Forzano

Essentials of Statistics for the Behavioral Sciences

Mitarbeit:Gravetter, Frederick J.; Wallnau, Larry B.; Forzano, Lori-Ann B.; Witnauer, James E.

• Broschiertes Buch

Produktbeschreibung

Updated with the latest research, Gravetter/Wallnau/Forzano/Witnauer's ESSENTIALS OF STATISTICS FOR THE BEHAVIORAL SCIENCES, 10th Edition delivers straightforward instruction, hands-on learning tools and real-world examples to help you go beyond memorizing formulas to truly understanding the hows and whys of statistics. Giving extra focus to the topics students typically struggle with most, the authors take time to fully explain statistical concepts. Integrated applications reinforce concepts, offering further support to ensure that even those with a weak background in mathematics can fully grasp statistics. The authors also illustrate how an understanding of statistical procedures will help you comprehend published findings -- ultimately leading you to become a savvy consumer of information. Also available, the MindTap digital learning solution helps you learn on your own terms.

Produktdetails

• Verlag: Cengage Learning EMEA / Wadsworth Publishing
• 10. Aufl.
• Seitenzahl: 608
• Erscheinungstermin: 1. Januar 2020
• Englisch
• Abmessung: 255mm x 207mm x 30mm
• Gewicht: 1232g
• ISBN-13: 9780357365298
• ISBN-10: 0357365291
• Artikelnr.: 58120421

Autorenporträt

The late Frederick J Gravetter was professor emeritus of psychology at State University of New York, Brockport. While teaching at Brockport, Dr. Gravetter specialized in statistics, experimental design and cognitive psychology. He received his bachelor's degree in mathematics from M.I.T. and his Ph.D. in psychology from Duke University. In addition to publishing several research articles, Dr. Gravetter co-authored STATISTICS FOR THE BEHAVIORAL SCIENCES and ESSENTIAL OF STATISTICS FOR THE BEHAVIORAL SCIENCES.

Inhaltsangabe

1. Introduction to Statistics. 2. Frequency Distributions. 3. Central Tendency. 4. Variability. 5. z-Scores: Location of Scores and Standardized Distributions. 6. Probability. 7. Probability and Samples: The Distribution of Sample Means. 8. Introduction to Hypothesis Testing. 9. Introduction to the t Statistic. 10. The t Test for Two Independent Samples. 11. The t Test for Two Related Samples. 12. Introduction to Analysis of Variance. 13. Two-Factor Analysis of Variance. 14. Correlation and Regression. 15. The Chi-Square Statistic: Tests for Goodness of Fit and Independence.