This textbook provides students entering a health sciences program with a strong, practical foundation in statistics. Real research examples and data sets from many areas in the health sciences illustrate descriptive and inferential statistics, interval estimation, graphing, probability, and other topics. In color throughout, the book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students. Electronic flashcards for smartphones and data sets are available via a supplementary website.
This textbook provides students entering a health sciences program with a strong, practical foundation in statistics. Real research examples and data sets from many areas in the health sciences illustrate descriptive and inferential statistics, interval estimation, graphing, probability, and other topics. In color throughout, the book can be used in a first-semester course in a health sciences program or in a service course for undergraduate students. Electronic flashcards for smartphones and data sets are available via a supplementary website.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Lise DeShea is the senior research biostatistician in the College of Nursing at the University of Oklahoma Health Sciences Center. She has served on the faculty of the University of Kentucky and worked as a statistician for a Medicaid agency. She has conducted research on emergency room utilization, bootstrapping, and forgiveness. Larry E. Toothaker is an emeritus David Ross Boyd Professor, the highest honor for teaching excellence at the University of Oklahoma. He has conducted research on multiple comparison procedures and nonparametric methods. He retired in 2008 after teaching statistics in the Department of Psychology for 40 years.
Inhaltsangabe
The Frontier between Knowledge and Ignorance. Describing Distributions with Statistics: Middle, Spread, and Skewness. Exploring Data Visually. Relative Location and Normal Distributions. Bivariate Correlation. Probability and Risk. Sampling Distributions and Estimation. Hypothesis Testing and Interval Estimation. Types of Errors and Power. One-Sample Tests and Estimates. Two-Sample Tests and Estimates. Tests and Estimates for Two or More Samples. Tests and Estimates for Bivariate Linear Relationships. Analysis of Frequencies and Ranks. Choosing an Analysis Plan. Suggested Answers to Odd-Numbered Exercises. Appendix. Index.
The Frontier between Knowledge and Ignorance. Describing Distributions with Statistics: Middle, Spread, and Skewness. Exploring Data Visually. Relative Location and Normal Distributions. Bivariate Correlation. Probability and Risk. Sampling Distributions and Estimation. Hypothesis Testing and Interval Estimation. Types of Errors and Power. One-Sample Tests and Estimates. Two-Sample Tests and Estimates. Tests and Estimates for Two or More Samples. Tests and Estimates for Bivariate Linear Relationships. Analysis of Frequencies and Ranks. Choosing an Analysis Plan. Suggested Answers to Odd-Numbered Exercises. Appendix. Index.
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