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Author Verma, J. P., author

Title Statistics for exercise science and health with Microsoft Office Excel / J.P. Verma, Centre for Advanced Studies, Lakshmibai National Institute of Physical Education, Gwalior, India
Published Hoboken, New Jersey : Wiley, [2014]

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Description 1 online resource
Contents Scope of statistics in exercise science and health -- Introduction -- Understanding statistics -- What statistics does? -- Statistical processes -- Need for statistics -- Statistics in exercise science and health -- Computing with excel -- Understanding the nature of data -- Introduction -- Important terminologies -- Measurement of data -- Parametric and nonparametric statistics -- Frequency distribution -- Summation notation -- Measures of central tendency -- Comparison of the mean, median, and mode -- Measures of variability -- Standard error -- Coefficient of variation -- Absolute and relative variability -- Box-and-whisker plot -- Skewness -- Percentiles -- Computing with excel -- Working with graphs -- Introduction -- Guidelines for constructing a graph -- Bar diagram -- Histogram -- Frequency polygon -- Frequency curve -- Cumulative frequency curve -- Ogive -- Pie diagram -- Stem and leaf plot -- Computing with excel -- Probability and its application -- Introduction -- Application of probability -- Set theory -- Terminologies used in probability -- Basic definitions of probability -- Some results on probability -- Computing probability -- Types of probability -- Theorems of probability -- Computing with excel -- Statistical distributions and their application -- Introduction -- Terminologies used in statistical distribution -- Discrete distribution -- Binomial distribution -- Poisson distribution -- Continuous distribution -- Normal distribution -- Standard score -- Normal approximation to the binomial distribution -- Testing normality of the data -- The central limit theorem -- Solving problems based on the normal distribution -- Uses of normal distribution -- Computing with excel -- Sampling and sampling distribution -- Introduction -- Population and sample -- Parameter and statistics -- Sampling frame -- Sampling -- Census -- Probability and nonprobability sampling -- Probability sampling -- Nonprobability sampling -- When to use probability sampling -- When to use nonprobability sampling -- Characteristics of a good sample -- Sources of data -- Methods of data collection -- Biases in data collection -- Sampling error -- Nonsampling errors -- Sampling distribution -- Criteria in deciding sample size -- Computing with excel -- Statistical inference for decision-making in exercise science and health -- Introduction -- Theory of estimation -- Point estimation -- Characteristics of a good estimator -- The t-distribution -- Interval estimation -- Testing of hypothesis -- Types of hypothesis -- Test statistic -- Concept used in hypothesis testing -- Type I and Type II errors -- Level of significance -- Power of the test -- Rejection region and critical value -- p-value -- One-tailed and two-tailed tests -- Degrees of freedom -- Strategy in selecting the test statistic -- Steps in hypothesis testing -- One-sample testing -- Two-sample testing -- Test of significance about two population proportions -- Test of significance about two population variances -- Computing with excel -- Analysis of variance and designing research experiments -- Introduction -- Understanding analysis of variance -- Design of experiment -- One-way analysis of variance -- Completely randomized design -- Two-way analysis of variance (N observations per cell) -- Two-way analysis of variance (one observation per cell) -- Randomized block design -- Factorial design -- Analysis of covariance -- Computing with excel -- Understanding relationships and developing regression models -- Introduction -- Types of relationship -- Correlation coefficient -- Partial correlation -- Multiple correlation -- Suppression variable -- Regression analysis -- The multiple regression model -- Different ways of testing a regression model -- Law of diminishing returns -- Different approaches in developing multiple regression models -- Computing with excel -- Statistical tests for nonparametric data -- Introduction -- Merits and demerits of nonparametric tests -- Chi-square test -- Runs test -- Mann-Whitney U-test for two samples -- Wilcoxon matched-pairs signed-ranks test -- Kruskal-Wallis test (one-way ANOVA for nonparametric data) -- The Friedman test -- Computing with excel -- Measuring associations in nonparametric data -- Introduction -- Rank correlation (measure of association between ranked data) -- Bi-serial correlation (measure of association between a dichotomous and a continuous variable -- Point bi-serial correlation (measure of correlation between a true dichotomous variable and a continuous variable) -- Tetrachoric correlation (measure of association between dichotomous variables -- Phi coefficient (measure of association between naturally dichotomous variables) -- Contingency coefficient (measure of association between categorical variables) -- Computing with excel -- Developing norms for assessing performance -- Introduction -- Percentiles -- Z-scale -- T-scale -- Stanine scale -- Composite scale based on Z-score -- Scaling of ratings in terms of the normal curve -- Developing norms based on difficulty ratings -- Computing with excel
Summary "This 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. Statistics for Exercise Science and Health with Microsoft Office Excel: Aids readers in analyzing their own data using the presented statistical techniques combined with Excel Features comprehensive coverage of hypothesis testing and regression models to facilitate modeling in sports science Utilizes Excel to enhance reader competency in data analysis and experimental designs Includes coverage of both binomial and poison distributions with applications in exercise science and health Provides solved examples and plentiful practice exercises throughout in addition to case studies to illustrate the discussed analytical techniques Contains all needed definitions and formulas to aid readers in understanding different statistical concepts and developing the needed skills to solve research problems"-- Provided by publisher
"This book presents readers with basic concepts of statistics in order to solve a variety of problems in exercise science and health. This book not only serves as a textbook for students, but its also provides a solid foundation for their future research work"-- Provided by publisher
Bibliography Includes bibliographical references and index
Notes Print version record and CIP data provided by publisher
SUBJECT Microsoft Excel (Computer file) http://id.loc.gov/authorities/names/n86025775
Microsoft Excel (Computer file) fast
Subject Sports sciences.
Sports sciences -- Statistical methods -- Computer programs
Exercise -- Statistical methods
MATHEMATICS -- Probability & Statistics -- General.
EDUCATION -- Physical Education.
EDUCATION -- Research.
Sports sciences
Form Electronic book
LC no. 2013048819
ISBN 9781118855171
1118855175
9781118855393
1118855396
9781118855195
1118855191