{"product_id":"applied-statistics-in-occupational-safety-and-health-9781598888881","title":"Applied Statistics in Occupational Safety and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eCreated for those who have little experience with statistics, or for those who need to keep a concise reference book on hand, this newly updated handbook provides an introductory guide to basic statistics and data analysis.  Using step-by-step methods and both examples and applications common to safety professionals, including loss control consultants and occupational health nurses, this new edition makes understanding the \"math\" side of the job easier. Readers will learn how to apply appropriate statistical procedures to commonly encountered situations, how to perform each statistical test, how to executive inferential statistics for parametric and non-parametric procedures, and how to use descriptive statistical concepts to summarize data.  The author ends each chapter with a chapter summary and review exercises. He also includes extensive illustrations, easy-to-read charts and tables, a glossary of statistical terms, a comprehensive index, solutions to sample problems, and five appendices containing statistical tables with their appropriate uses. This third edition provides new examples and numerous updates.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eContents List of Figures and Tables Preface About the Author 1 Fundamentals of Statistics  Statistics and Their Use in Safety  Statistics Defined Common Terms and Notations  Quantitative and Qualitative Data  Statistical Notations Research Questions and Hypotheses Types 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 Samples Nonprobability Sample Selection Procedures  Chunk Sampling  Volunteer Samples  Variables  Dependent and Independent Variables Chapter Summary Chapter Review Exercises  2 Probability and Chance   Probability      Marginal Probabilities  Joint Event Probabilities     Union Probabilities  Conditional Probabilities Factorials, Permutations, Ordered Combinations, and Combinations     Factorials  Permutations   Combinations Binomial Probabilities  Poisson Probability Chapter Summary Chapter Review Exercises    3 Distributions Statistical Distributions and Populations Frequencies  Histograms Frequency Polygons Percentages, Cumulative Percentages, and Percentiles  Normal Distribution  Binomial Distribution  t Distribution Chi-square Distribution  F Distribution Chapter Summary Chapter Review Exercises    4 Descriptive Statistics Data Formats   Categorical Data   Ordinal Data   Interval Data   Ratio Data  Strength of the Data Formats  Measures of Central Tendency   Mean  Median  Mode Measures of Variability  Range  Variance  Standard Deviation  Interquartile Range  z Scores    z Scores and Percentages of the Population Confidence Intervals for Means  95% Confidence Intervals   99% Confidence Intervals  Interpreting Confidence Intervals  Chapter Summary Chapter Review Exercises    5 Statistical Tests   Statistical Hypotheses  Inferential Statistical Testing Type 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 Decision Chapter Summary  Chapter Review Exercises    6 Inferential Statistics for Means  z-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 Samples Paired 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   Hypothesis Construction   Procedure Formulas   Hypothesis Construction  Formulate a Decision Rule   Calculate F Ratio   Conclusions  Post Hoc Procedures  Tukey’s HSD  Calculate Tukey’s HSD  Formulate a Decision Rule   Example ANOVA Problem   Formulate a Decision Rule   Calculate F ratio   Conclusions   Run Post Hoc Tests Chapter Summary  Chapter Review Exercises    7 Correlation and Regression  Correlation   Pearson Correlation Coefficient   Assumptions  Pearson Correlation Coefficient Formula  Sample Problem  Significance Testing for Correlation Coefficients  Test Hypotheses  Test Formula  Sample Problem   Spearman Rank-Order Correlation Coefficient   Assumptions  Spearman Rank–Order Correlation Coefficient Formula  Sample Problem  Phi Coefficient   Assumptions  Phi Coefficient Formula  Sample Problem  Point Biserial Correlation   Assumptions  Point Biserial Correlation Formula  Sample Problem  Significance Testing for Correlation Coefficients Linear Regression   Procedure Assumptions    Linear Regression Formulas   Sample Problem  Chapter Summary  Chapter Review Exercises    8 Nonparametric Statistics Underlying Assumptions Concerning Nonparametric Statistics  Chi-square Test for Goodness of Fit   Degrees of Freedom   Test Assumptions  Hypothesis Construction   Test Formula   Determining the Critical Value   Sample Problem  c2 Test of Independence  Degrees of Freedom   Expected Number of Cases   Test Assumptions  Hypothesis Construction   Test Formula  Sample Problem  Cochran’s Q Test  Test Assumptions  Hypothesis Construction   Cochran’s Q Test Formula  Sample Problem  Cochran's Q Test   Test Assumptions  Hypothesis Construction   Test Formula  Sample Problem  Chapter Summary Chapter Review Exercises    9 Survey Research  Types of Survey Studies Collecting and Maintaining Survey Data Outline for Planning a Survey Constructing the Instrument Types of Survey Items  Forms of Questions   Unstructured Questions   Structured Questions  Rating Scales Likert Scales  Semantic Differential Scales  Formatting Questionnaires for the Mail  Sound Survey Research Procedures   Measurable Objective   Representative Population   Match the Hypothesis to the Statistical Tests  Conduct Background Research   Instrument Validity and Reliability  Cover Letters and Instructions   Sampling for Surveys   Calculating Sample Sizes   Survey Research Limitations   Pilot Testing   Permission to Use Human Subjects  Chapter Summary  Chapter Review Exercises   10 Experimental Design   Experimental Design Uses  Research Hypotheses and Experimental Design  Dependent and Independent Variables  Types of Experimental Designs   One-way ANOVA   Completely Randomized Design   Randomized Block Design   Latin Square Design   Completely Randomized Factorial Design Chapter Summary  Chapter Review Exercises   11 Presenting Research   Data Presentation for Safety Professionals  Displaying Descriptive Statistics  Displaying Tables   Column Charts   Pie Charts Presenting Inferential Statistics   z-Tests and t-Tests  Example Results from a Paired t-Test Procedure  One-way Analysis of Variance   Correlation Procedures   Regression Procedures   Nonparametric Procedures  Using Computer Software to Develop Presentations   Sample Data Analysis Using Microsoft Excel   Developing Presentations Using Microsoft Office  Chapter Summary  Chapter Review Exercises   Appendix Statistical Tables   Cumulative Distribution Function for the Standard Normal Random Variable  Critical Values for the t Distribution   Critical Values for the Chi-square Distribution   Critical Values for the F Distribution   Table of Random Units    Critical Values of the Studentized Range   Glossary References  Solutions to Selected Problems  Index","brand":"Rowman \u0026 Littlefield","offers":[{"title":"Default Title","offer_id":51041578352983,"sku":"9781598888881","price":72.9,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781598888881.jpg?v=1750950862","url":"https:\/\/bookcurl.com\/products\/applied-statistics-in-occupational-safety-and-health-9781598888881","provider":"Book Curl","version":"1.0","type":"link"}