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Informationen zum Autor By Christopher A. Janicak Klappentext Applied Statistics in Occupational Safety and Health provides occupational safety and health professionals with an introductory guide to basic statistics and data analysis. This book is written in an easy-to-understand format with step-by-step procedures to analyze data using a variety of statistical techniques. This third edition includes new examples and numerous updates. Topics in this book include statistical procedures, descriptive statistical methods, correlations, regression, and non-parametric statistical tests. Each chapter presents sample problems and solutions. Inhaltsverzeichnis ContentsList of Figures and TablesPrefaceAbout the Author1Fundamentals of Statistics Statistics and Their Use in Safety Statistics DefinedCommon Terms and Notations Quantitative and Qualitative Data Statistical NotationsResearch Questions and HypothesesTypes of Studies ¿Retrospective Studies ¿Prospective Studies¿Experiments Statistical Samples versus Statistical Populations Bias Probability Sample Selection Procedures Sampling Techniques ¿ Random Samples ¿Simple Random Samples¿Cluster Samples ¿Stratified Random SamplesNonprobability Sample Selection Procedures¿Chunk Sampling¿Volunteer Samples Variables¿Dependent and Independent VariablesChapter SummaryChapter Review Exercises2Probability and Chance Probability Marginal Probabilities¿Joint Event Probabilities Union Probabilities¿Conditional ProbabilitiesFactorials, Permutations, Ordered Combinations, and Combinations Factorials¿Permutations ¿CombinationsBinomial Probabilities Poisson ProbabilityChapter SummaryChapter Review Exercises 3DistributionsStatistical Distributions and PopulationsFrequencies HistogramsFrequency PolygonsPercentages, Cumulative Percentages, and Percentiles Normal Distribution Binomial Distribution t DistributionChi-square Distribution F DistributionChapter SummaryChapter Review Exercises 4Descriptive StatisticsData Formats ¿Categorical Data ¿Ordinal Data ¿Interval Data ¿Ratio Data Strength of the Data Formats Measures of Central Tendency ¿Mean¿Median¿ModeMeasures of Variability¿Range¿Variance¿Standard Deviation¿Interquartile Range z Scores ¿¿z Scores and Percentages of the PopulationConfidence Intervals for Means¿95% Confidence Intervals ¿99% Confidence Intervals¿Interpreting Confidence Intervals Chapter SummaryChapter Review Exercises 5Statistical Tests Statistical Hypotheses Inferential Statistical TestingType I and Type II Errors Alpha Levels Statistical Power of a Test Inferential Statistics Test Procedure¿Developing a Statistical Hypothesis ¿Choosing the Appropriate Statistical Test or Procedure¿Determining the Statistical Distribution¿Determining Significance Levels¿Formulating a Decision Rule ¿Running the Test ¿Formulating a Conclusion and Making a DecisionChapter Summary Chapter Review Exercises 6Inferential Statistics for Meansz-Test Comparing a Sample Mean to a Known Population Mean¿Test Assumptions¿Hypothesis Construction ¿Determine Significance Levels ¿Using a z Table¿Formulate a Decision Rule ¿z Test Formula ¿Conclusions¿Example z Test Problem Independent Samples z-Test¿Test Assumptions¿Independent Samples z-Test Formula ¿Example Independent Samples z-test Problem¿Hypothesis Construction¿Conclusions¿Example z Test Problem t -Test for a Single Mean ¿Test Assumptions¿Hypothesis Construction ¿t Test Hypotheses ¿Determine Significance Levels¿Formulate a Decision Rule ¿t-Test Formula for a Single Mean¿Conclusions ¿Example t-Test Problem t-Test for Independent SamplesPaired Samples t-Tests ¿ Test Assumptions ¿Hypothesis Construction ¿Determine Significance Levels ¿Formulate a Decision Rule ¿Test Formula¿Conclusions ¿Example Paired Samples t-Test Problem One-way Analysis of Variance¿Procedure Assumptions ¿Hypo...
