{"product_id":"statistics-for-exercise-science-and-health-with-microsoft-office-excel-hardback-9781118855218","title":"Statistics for Exercise Science and Health with Microsoft Office Excel (Hardback) 9781118855218","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eStatistics for Exercise Science and Health with Microsoft Office Excel\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eJ. P. Verma (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781118855218, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 8 August 2014\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e752 pages\u003cbr\u003e24.1 x 16.3 x 4.3 cm, 1.148 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eThis book introduces the use of statistics to solve a variety of problems in exercise science and health and provides readers with a solid foundation for future research and data analysis.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eStatistics for Exercise Science and Health with Microsoft Office Excel\u003c\/i\u003e:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eAids readers in analyzing their own data using the presented statistical techniques combined with Excel\u003c\/li\u003e \u003cli\u003eFeatures comprehensive coverage of hypothesis testing and regression models to facilitate modeling in sports science\u003c\/li\u003e \u003cli\u003eUtilizes Excel to enhance reader competency in data analysis and experimental designs\u003c\/li\u003e \u003cli\u003eIncludes coverage of both binomial and poison distributions with applications in exercise science and health\u003c\/li\u003e \u003cli\u003eProvides solved examples and plentiful practice exercises throughout in addition to case studies to illustrate the discussed analytical techniques\u003c\/li\u003e \u003cli\u003eContains all needed definitions and formulas to aid readers in understanding different statistical concepts and developing the needed skills to solve research problems\u003c\/li\u003e \u003c\/ul\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Scope of Statistics in Exercise Science and Health 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction, 1\u003c\/p\u003e \u003cp\u003e1.2 Understanding Statistics, 2\u003c\/p\u003e \u003cp\u003e1.3 What Statistics Does?, 3\u003c\/p\u003e \u003cp\u003e1.4 Statistical Processes, 4\u003c\/p\u003e \u003cp\u003e1.5 Need for Statistics, 5\u003c\/p\u003e \u003cp\u003e1.6 Statistics in Exercise Science and Health, 8\u003c\/p\u003e \u003cp\u003e1.7 Computing with Excel, 9\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Understanding the Nature of Data 19\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction, 19\u003c\/p\u003e \u003cp\u003e2.2 Important Terminologies, 20\u003c\/p\u003e \u003cp\u003e2.3 Measurement of Data, 22\u003c\/p\u003e \u003cp\u003e2.4 Parametric and Nonparametric Statistics, 24\u003c\/p\u003e \u003cp\u003e2.5 Frequency Distribution, 25\u003c\/p\u003e \u003cp\u003e2.6 Summation Notation, 28\u003c\/p\u003e \u003cp\u003e2.7 Measures of Central Tendency, 34\u003c\/p\u003e \u003cp\u003e2.8 Comparison of the Mean, Median, and Mode, 46\u003c\/p\u003e \u003cp\u003e2.9 Measures of Variability, 53\u003c\/p\u003e \u003cp\u003e2.10 Standard Error, 72\u003c\/p\u003e \u003cp\u003e2.11 Coefficient of Variation, 72\u003c\/p\u003e \u003cp\u003e2.12 Absolute and Relative Variability, 74\u003c\/p\u003e \u003cp\u003e2.13 Box-And-Whisker Plot, 79\u003c\/p\u003e \u003cp\u003e2.14 Skewness, 81\u003c\/p\u003e \u003cp\u003e2.15 Percentiles, 82\u003c\/p\u003e \u003cp\u003e2.16 Computing with Excel, 86\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Working with Graphs 101\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction, 101\u003c\/p\u003e \u003cp\u003e3.2 Guidelines for Constructing a Graph, 102\u003c\/p\u003e \u003cp\u003e3.3 Bar Diagram, 104\u003c\/p\u003e \u003cp\u003e3.4 Histogram, 105\u003c\/p\u003e \u003cp\u003e3.5 Frequency Polygon, 107\u003c\/p\u003e \u003cp\u003e3.6 Frequency Curve, 107\u003c\/p\u003e \u003cp\u003e3.7 Cumulative Frequency Curve, 108\u003c\/p\u003e \u003cp\u003e3.8 Ogive, 110\u003c\/p\u003e \u003cp\u003e3.9 Pie Diagram, 111\u003c\/p\u003e \u003cp\u003e3.10 Stem and Leaf Plot, 113\u003c\/p\u003e \u003cp\u003e3.11 Computing with Excel, 117\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Probability and its Application 130\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction, 130\u003c\/p\u003e \u003cp\u003e4.2 Application of Probability, 131\u003c\/p\u003e \u003cp\u003e4.3 Set Theory, 132\u003c\/p\u003e \u003cp\u003e4.4 Terminologies Used in Probability, 136\u003c\/p\u003e \u003cp\u003e4.5 Basic Definitions of Probability, 142\u003c\/p\u003e \u003cp\u003e4.6 Some Results on Probability, 145\u003c\/p\u003e \u003cp\u003e4.7 Computing Probability, 145\u003c\/p\u003e \u003cp\u003e4.8 Types of Probability, 151\u003c\/p\u003e \u003cp\u003e4.9 Theorems of Probability, 152\u003c\/p\u003e \u003cp\u003e4.10 Computing with Excel, 162\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Statistical Distributions and their Application 176\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction, 176\u003c\/p\u003e \u003cp\u003e5.2 Terminologies used in Statistical Distribution, 177\u003c\/p\u003e \u003cp\u003e5.3 Discrete Distribution, 182\u003c\/p\u003e \u003cp\u003e5.4 Binomial Distribution, 183\u003c\/p\u003e \u003cp\u003e5.5 Poisson Distribution, 189\u003c\/p\u003e \u003cp\u003e5.6 Continuous Distribution, 194\u003c\/p\u003e \u003cp\u003e5.7 Normal Distribution, 195\u003c\/p\u003e \u003cp\u003e5.8 Standard Score, 198\u003c\/p\u003e \u003cp\u003e5.9 Normal Approximation to the Binomial Distribution, 199\u003c\/p\u003e \u003cp\u003e5.10 Testing Normality of the Data, 200\u003c\/p\u003e \u003cp\u003e5.11 The Central Limit Theorem, 204\u003c\/p\u003e \u003cp\u003e5.12 Solving Problems Based on Normal Distribution, 204\u003c\/p\u003e \u003cp\u003e5.13 Uses of Normal Distribution, 216\u003c\/p\u003e \u003cp\u003e5.14 Computing with Excel, 217\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Sampling and Sampling Distribution 234\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction, 234\u003c\/p\u003e \u003cp\u003e6.2 Population and Sample, 235\u003c\/p\u003e \u003cp\u003e6.3 Parameter and Statistics, 235\u003c\/p\u003e \u003cp\u003e6.4 Sampling Frame, 236\u003c\/p\u003e \u003cp\u003e6.5 Sampling, 236\u003c\/p\u003e \u003cp\u003e6.6 Census, 238\u003c\/p\u003e \u003cp\u003e6.7 Probability and Nonprobability Sampling, 238\u003c\/p\u003e \u003cp\u003e6.8 Probability Sampling, 239\u003c\/p\u003e \u003cp\u003e6.9 Nonprobability Sampling, 246\u003c\/p\u003e \u003cp\u003e6.10 When to Use Probability Sampling, 249\u003c\/p\u003e \u003cp\u003e6.11 When to Use Nonprobability Sampling, 250\u003c\/p\u003e \u003cp\u003e6.12 Characteristics of a Good Sample, 250\u003c\/p\u003e \u003cp\u003e6.13 Sources of Data, 251\u003c\/p\u003e \u003cp\u003e6.14 Methods of Data Collection, 252\u003c\/p\u003e \u003cp\u003e6.15 Biases in Data Collection, 254\u003c\/p\u003e \u003cp\u003e6.16 Sampling Error, 255\u003c\/p\u003e \u003cp\u003e6.17 Nonsampling Errors, 255\u003c\/p\u003e \u003cp\u003e6.18 Sampling Distribution, 255\u003c\/p\u003e \u003cp\u003e6.19 Criteria in Deciding Sample Size, 262\u003c\/p\u003e \u003cp\u003e6.20 Computing with Excel, 266\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Statistical Inference for Decision-Making in Exercise Science and Health 277\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction, 277\u003c\/p\u003e \u003cp\u003e7.2 Theory of Estimation, 278\u003c\/p\u003e \u003cp\u003e7.3 Point Estimation, 278\u003c\/p\u003e \u003cp\u003e7.4 Characteristics of a Good Estimator, 279\u003c\/p\u003e \u003cp\u003e7.5 The t-Distribution, 280\u003c\/p\u003e \u003cp\u003e7.6 Interval Estimation, 281\u003c\/p\u003e \u003cp\u003e7.7 Testing of Hypothesis, 295\u003c\/p\u003e \u003cp\u003e7.8 Types of Hypothesis, 296\u003c\/p\u003e \u003cp\u003e7.9 Test Statistic, 297\u003c\/p\u003e \u003cp\u003e7.10 Concept used in Hypothesis Testing, 298\u003c\/p\u003e \u003cp\u003e7.11 Type I and Type II Errors, 299\u003c\/p\u003e \u003cp\u003e7.12 Level of Significance, 300\u003c\/p\u003e \u003cp\u003e7.13 Power of the Test, 301\u003c\/p\u003e \u003cp\u003e7.14 Rejection Region and Critical Value, 301\u003c\/p\u003e \u003cp\u003e7.15 p-Value, 302\u003c\/p\u003e \u003cp\u003e7.16 One-Tailed and Two-Tailed Tests, 303\u003c\/p\u003e \u003cp\u003e7.17 Degrees of Freedom, 305\u003c\/p\u003e \u003cp\u003e7.18 Strategy in Selecting the Test Statistic, 306\u003c\/p\u003e \u003cp\u003e7.19 Steps in Hypothesis Testing, 307\u003c\/p\u003e \u003cp\u003e7.20 One-Sample Testing, 312\u003c\/p\u003e \u003cp\u003e7.21 Two-Sample Testing, 324\u003c\/p\u003e \u003cp\u003e7.22 Test of Significance about Two Population Proportions, 338\u003c\/p\u003e \u003cp\u003e7.23 Test of Significance about Two Population Variances, 341\u003c\/p\u003e \u003cp\u003e7.24 Computing with Excel, 346\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Analysis of Variance and Designing Research Experiments 375\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction, 375\u003c\/p\u003e \u003cp\u003e8.2 Understanding Analysis of Variance, 376\u003c\/p\u003e \u003cp\u003e8.3 Design of Experiment, 378\u003c\/p\u003e \u003cp\u003e8.4 One-way Analysis of Variance, 379\u003c\/p\u003e \u003cp\u003e8.5 Completely Randomized Design, 384\u003c\/p\u003e \u003cp\u003e8.6 Two-way Analysis of Variance (N Observations Per Cell), 391\u003c\/p\u003e \u003cp\u003e8.7 Two-way Analysis of Variance (One Observation Per Cell), 397\u003c\/p\u003e \u003cp\u003e8.8 Randomized Block Design, 401\u003c\/p\u003e \u003cp\u003e8.9 Factorial Design, 407\u003c\/p\u003e \u003cp\u003e8.10 Analysis of Covariance, 414\u003c\/p\u003e \u003cp\u003e8.11 Computing with Excel, 428\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Understanding Relationships and Developing Regression Models 461\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction, 461\u003c\/p\u003e \u003cp\u003e9.2 Types of Relationship, 462\u003c\/p\u003e \u003cp\u003e9.3 Correlation Coefficient, 463\u003c\/p\u003e \u003cp\u003e9.4 Partial Correlation, 476\u003c\/p\u003e \u003cp\u003e9.5 Multiple Correlation, 480\u003c\/p\u003e \u003cp\u003e9.6 Suppression Variable, 483\u003c\/p\u003e \u003cp\u003e9.7 Regression Analysis, 485\u003c\/p\u003e \u003cp\u003e9.8 The Multiple Regression Model, 510\u003c\/p\u003e \u003cp\u003e9.9 Different Ways of Testing a Regression Model, 515\u003c\/p\u003e \u003cp\u003e9.10 Law of Diminishing Returns, 523\u003c\/p\u003e \u003cp\u003e9.11 Different Approaches in Developing Multiple Regression Models, 524\u003c\/p\u003e \u003cp\u003e9.12 Computing with Excel, 528\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Statistical Tests for Nonparametric Data 556\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction, 556\u003c\/p\u003e \u003cp\u003e10.2 Merits and Demerits of Nonparametric Tests, 557\u003c\/p\u003e \u003cp\u003e10.3 Chi-Square Test, 557\u003c\/p\u003e \u003cp\u003e10.4 Runs Test, 571\u003c\/p\u003e \u003cp\u003e10.5 Mann–Whitney U-Test for Two Samples, 577\u003c\/p\u003e \u003cp\u003e10.6 Wilcoxon Matched-Pairs Signed-Ranks Test, 584\u003c\/p\u003e \u003cp\u003e10.7 Kruskal–Wallis Test (One-Way ANOVA for Nonparametric Data), 589\u003c\/p\u003e \u003cp\u003e10.8 The Friedman Test, 593\u003c\/p\u003e \u003cp\u003e10.9 Computing with Excel, 599\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Measuring Associations in Nonparametric Data 615\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction, 615\u003c\/p\u003e \u003cp\u003e11.2 Rank Correlation (Measure of Association Between Ranked Data), 616\u003c\/p\u003e \u003cp\u003e11.3 Bi-Serial Correlation (Measure of Association Between a Dichotomous and a Continuous Variable), 622\u003c\/p\u003e \u003cp\u003e11.4 Point Bi-Serial Correlation (Measure of Correlation Between a True Dichotomous Variable and a Continuous Variable), 624\u003c\/p\u003e \u003cp\u003e11.5 Tetrachoric Correlation (Measure of Association Between Dichotomous Variables), 629\u003c\/p\u003e \u003cp\u003e11.6 Phi Coefficient (Measure of Association Between Naturally Dichotomous Variables), 636\u003c\/p\u003e \u003cp\u003e11.7 Contingency Coefficient (Measure of Association Between Categorical Variables), 640\u003c\/p\u003e \u003cp\u003e11.8 Computing with Excel, 646\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Developing Norms for Assessing Performance 657\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction, 657\u003c\/p\u003e \u003cp\u003e12.2 Percentiles, 658\u003c\/p\u003e \u003cp\u003e12.3 Z-Scale, 663\u003c\/p\u003e \u003cp\u003e12.4 T-Scale, 664\u003c\/p\u003e \u003cp\u003e12.5 Stanine Scale, 664\u003c\/p\u003e \u003cp\u003e12.6 Composite Scale Based on Z-Score, 666\u003c\/p\u003e \u003cp\u003e12.7 Scaling of Ratings in Terms of the Normal Curve, 671\u003c\/p\u003e \u003cp\u003e12.8 Developing Norms Based on Difficulty Ratings, 674\u003c\/p\u003e \u003cp\u003e12.9 Computing with Excel, 677\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAppendix: Statistical Tables 688\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTable A.1 Trigonometric Function, 688\u003c\/p\u003e \u003cp\u003eTable A.2 Binomial Probability Distribution, 691\u003c\/p\u003e \u003cp\u003eTable A.3 Poisson Probability Distribution, 695\u003c\/p\u003e \u003cp\u003eTable A.4 The Normal Curve Area Between the Mean and a Given z Value, 700\u003c\/p\u003e \u003cp\u003eTable A.5 Ordinates at Different Values of z-Score in the Standard Normal Distribution, 701\u003c\/p\u003e \u003cp\u003eTable A.6 Standard Scores (or Deviates) and Ordinates Corresponding to Divisions of the Area under the Normal Curve into a Larger Proportion (B) and a Smaller Proportion (C), 704\u003c\/p\u003e \u003cp\u003eTable A.7 Critical Values of “t”, 707\u003c\/p\u003e \u003cp\u003eTable A.8 Critical Values of the Correlation Coefficient, 708\u003c\/p\u003e \u003cp\u003eTable A.9 F-Table: Critical Values  = 0.05, 709\u003c\/p\u003e \u003cp\u003eTable A.10 F-Table: Critical Values  = 0.01, 710\u003c\/p\u003e \u003cp\u003eTable A.11 The Chi-square Table, 711\u003c\/p\u003e \u003cp\u003eTable A.12 Critical Values for Number of Runs R, 712\u003c\/p\u003e \u003cp\u003eTable A.13 Critical Values for the Mann–Whitney U-Test, 713\u003c\/p\u003e \u003cp\u003eTable A.14 Critical Values of T for the Wilcoxon Matched-pairs Signed-ranks Test (Small Samples), 713\u003c\/p\u003e \u003cp\u003eTable A.15 Critical Values of Studentized Range Distribution(q) for Familywise  = .05, 714\u003c\/p\u003e \u003cp\u003eIndex 717\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Medicine: general issues [\u003ca title=\"See our other books on Medicine: general issues\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Medicine:%20general%20issues%20%5BMB%5D%22\"\u003eMB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52421376114968,"sku":"9781118855218","price":93.76,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781118855218.jpg?v=1784593270","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/statistics-for-exercise-science-and-health-with-microsoft-office-excel-hardback-9781118855218","provider":"Freshly Printed Books","version":"1.0","type":"link"}