An Introduction to Applied Statistics

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An Introduction to Applied Statistics offers a comprehensive and accessible foundation in applied statistics, empowering students with the essential concepts and practical skills necessary for data-driven decision-making in today's world.

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PART I: GETTING STARTED 1. An Introduction to Applied Statistics 2. Statistics: Descriptive, Inferential, and Correlational 3. Data and Types of Variables 4. SPSS 29 Statistics Data Management Basics- Preparing Data for Analysis; PART II: SAMPLING CONSIDERATIONS 5. Sampling Strategies 6. Sample Size 7. Sources and Types of Statistical Error 8. Missing Data; PART III: DATA SCREENING, DESCRIBING, AND PROBABILITIES 9. Describing Categorical Variables 10. Basic Probabilities for Categorical Variables 11. The Concepts of Data Distribution, Probability Values, and Signi cance Testing 12. Numeric Variables: Data Screening and Removing Outliers; PART IV: STATISTICAL ANALYSIS Categorical Variables 13. Chi-Square Goodness of Fit Test: Comparing Counts in a Single Variable with Two or More Categories 14. Chi-Square Test of Independence: Comparing Counts between Two Variables Each with Two or More Categories 15. Chi-Square Test of the Same Sample: Comparing Counts of the Same Sample Measured Twice Using a Categorical Variable Numeric Variables 16. T-Test: Comparing a Single Sample Mean to a Speci c Value 17. T-Test: Comparing Two Independent Samples' Variable Means 18. Analysis of Variance (ANOVA): Comparing More Than Two Independent Samples' Means to Test for Differences among Them 19. Paired T-Test: Comparing the Means of the Same Sample Measured Twice Using a Numeric Variable Association and Regression 20. General Linear Model Repeated Measures: Comparing Means of the Same Sample Measured More Than Twice Using a Numeric Variable 21. Bivariate Correlation: The Association Between Two Variables 22. Linear Regression 23. Logistic Regression Data Reduction 24. Factor Analysis: From Data Reduction to Latent Variables 25. Classification Using Cluster Analysis; APPENDICES Appendix A: Glossary Appendix B: Chapter Statistical Exercise Solutions Appendix C: Statistics Flow Chart