Statistics for college students and researchers: Second Edition (Statistics textbook)

Oxford University Library. Revised edition March 2024. This book teaches students and researchers the math and application (statistical tests) of Statistics using simple arithmetic and only five simple formulas. All parametric statistical tests, from the most simple to very complex, are covered with examples. Few introductory Statistics textbooks cover this wide range. Few Statistics books cover statistical design. This is necessary in experimental sciences. This book explains with words the logic of applied statistics and provides many step-by-step examples. The author of this book is a retired professor of Medicine with a life-long teaching and research experience.TABLE OF CONTENTS(425 pages)PART 1 THEORY CONCEPTS STATISTICAL TESTSWhat is StatisticsDescriptive StatisticsInferential StatisticsNon-parametric StatisticsParametric StatisticsThe medianThe modeThe meanVarianceThe standard normal curveThe normal-distribution table - how to useStandard error of the meanThe t-testThe t-distribution tablePaired t-test2 x 2 factorial Analysis of Variance ANOVA2 x 3 factorial Analysis of Variance ANOVAANOVA mixed split plot complex designANOVA repeated measuresList of summary tables of ANOVA designsFormulas for df in ANOVAPART 2 LECTURE AND LABLecture 1 Numbers Quantities MeasurementLecture 2 Goddess Normal CurveLecture 3 Variance and standard deviationLecture 4 The uses of the normal distributionLecture 5 The t-testLecture 6 Analysis of variance One-way ANOVALecture 7 Analysis of Variance Factorial Designs Two-Way ANOVALecture 8 Repeated measures, correlated groupsLecture 9 Complex, mixed, split-plot designsPART 3.STATISTICAL DESIGNIdentify the design-case 1Identify the design-case 2Identify the design-case 3Identify the design-case 4Identify the design-case 5Identify the design-case 6Identify the design-case 7Identify the design-case 8Identify the design-case 9Identify the design-case 10Identify the design-case 11Identify the design-case 12Identify the design-case 13PART 4. PRACTICE EXERCISESThe mean: practice exercises and solutionsVariance: practice exercises and solutionThe problemThe solutionThe sum of squares: practice exercises and solutionsThe problemThe solutionStandard deviation practice exercises and solutionsThe problemThe solutionANOVA mixed split plot- practice exampleStatistical design practice question 2APPENDIXFive simple formulas for all parametric statisticsStatistical TablesThe Normal Distribution TableThe t-distribution TableThe F Distribution TableKey to the design questions of Part 3FAQ Frequently Asked QuestionsThe standard normal curve formulaComparison of "Statistics for college students and researchers: Second Edition" to the top 5 statistics textbooks"Statistics" by David Freedman, Robert Pisani, and Roger Purves; "The Basic Practice of Statistics" by David S. Moore; "Introduction to the Practice of Statistics" by David S. Moore, George P. McCabe, and Bruce A. Craig; "OpenIntro Statistics" by David M. Diez, Christopher D. Barr, and Mine Çetinkaya-Rundel; and "Statistics for Business and Economics" by James T. McClave, P. George Benson, and Terry T. Sincich."Statistics for college students and researchers" by M. Nikoletseas offers a unique, accessible approach, particularly for students and researchers needing a deep understanding without heavy mathematics. While the top five textbooks are established and widely used in college courses, Nikoletseas's book may be preferable for those in experimental sciences or those who find standard texts challenging. Read AI reviews below. Read more