Nikoletseas (352 results)

Paperback. Condition: new. Paperback. 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 ANOVA PART 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 designs PART 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 13 PART 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 2 APPENDIXFive 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 formula Comparison 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 Cetinkaya-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 us Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condition: new. Paperback. STATISTICS FOR HIGH SCHOOL STUDENTSStatistics becomes much easier when students understand what the numbers mean before they are asked to memorize formulas.Statistics for High School Students is a clear, concept-driven introduction to statistical reasoning for students preparing for college work in biology, medicine, psychology, neuroscience, environmental science, and other scientific fields. Drawing on decades of university teaching and scientific research, Michael M. Nikoletseas presents statistics not as a collection of isolated calculations, but as a practical method for designing experiments, organizing data, evaluating evidence, and deciding whether an observed result is likely to be meaningful.The mathematics is deliberately elementary. The concepts are not. The book begins with numbers, scores, measurement, mean, median, mode, and graphical representation, then develops the normal distribution, variance, standard deviation, probability, standard error, the t-test, analysis of variance, factorial designs, repeated-measures designs, mixed designs, and correlation.Students are introduced to: - Nominal, ordinal, interval, and ratio scales of measurement- Mean, median, mode, and graphical representation of data- The normal distribution and the logic of probability- Variance, sum of squares, and standard deviation- z scores and the location of scores within a distribution- Standard error and the reliability of sample means- Student's t-test and statistical significance- p values and degrees of freedom- One-way analysis of variance- Factorial and two-way ANOVA- Main effects and interactions- Repeated-measures and correlated-groups designs- Mixed and split-plot experimental designs- Correlation and the interpretation of relationships between variablesA distinctive feature of the book is its emphasis on conceptual understanding. Stories, imaginary experiments, laboratory situations, graphs, and visual demonstrations are used to make abstract statistical ideas concrete before they are reduced to notation. Difficult concepts such as standard deviation, sampling variability, statistical significance, the F ratio, and interaction are developed through intuitive examples rather than presented as formulas to be memorized.The book also emphasizes the continuity of statistical reasoning. The student sees how the logic of the normal curve leads naturally to the t-test, how the t-test leads to analysis of variance, and how increasingly complex experimental designs can still be understood through the same basic ideas of variation, comparison, and probability.A substantial practice section provides exercises and worked solutions involving the mean, variance, sum of squares, standard deviation, experimental design, and mixed ANOVA. The appendices include five basic formulas used throughout parametric statistics, the normal-distribution table, Student's t table, the F-distribution table, frequently asked questions, and additional reference material.Statistics for High School Students is intended not merely to prepare students to perform calculations, but to prepare them to think statistically. It introduces the kind of reasoning they will encounter later in college laboratories, research courses, scientific papers, and professional work.Statistics is not merely calculation. It is a disciplined way of reasoning from imperfect data toward defensible conclusions. A clear, concept-first introduction to statistics for high school students preparing for college science. Covers the normal curve, variance, t-tests, ANOVA, experimental design, correlation, worked examples, and practice exercises. This item Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…