• PREFACE ACKNOWLEDGMENTS PART I: INTRODUCTION AND STATISTICAL THEORY 1. Statistical Theory 2. Generating Random Numbers 3. Frequency Distributions 4. Stem and Leaf Plots 5. Population Distributions 6. Measures of Central Tendency 7. Measures of Dispersion 8. Sample Size Effects 9. Tchebysheff Inequality Theorem 10. Normal Bell-Shaped Curve PART II: PROBABILITY AND PROBABILITY DISTRIBUTIONS 11. Probability 12. Joint Probability 13. Addition Law of Probability 14. Multiplication Law of Probability 15. Conditional Probability 16. Combinations and Permutations PART III: MONTE CARLO AND STATISTICAL DISTRIBUTIONS 17. Binomial Distribution 18. Monte Carlo Simulation 19. Normal Distribution 20. t Distribution 21. Chi-square distribution 22. F Distribution PART IV: SAMPLING AND INFERENCE 23. Sampling Distributions 24. Central Limit Theorem 25. Confidence Intervals 26. Hypothesis Testing 27. Type I Error 28. Type II Error PART V: HYPOTHESIS TESTING IN RESEARCH 29. z test statistic for proportions 30. Chi-square test statistic 31. t Test for Mean Differences 32. Analysis of Variance 33. Correlation 34. Linear Regression PART VI: REPLICABILITY OF FINDINGS 35. Cross Validation 36. Jackknife 37. Bootstrap 38. Meta-Analysis 39. Significance Testing vs. Practical Importance GLOSSARY OF TERMS ABOUT THE AUTHORS APPENDIX ANSWERS TO CHAPTER EXERCISES AUTHOR INDEX SUBJECT INDEX

"A particularly useful feature of each chapter is the summary, which, in a succinct fashion, lists the concepts to be mastered."—CHOICE"With the inclusion of S-Plus script files, their book [Schumacker/Akers] is intended to help students understand the statistical concepts covered in the classroom and in the primary textbook, as well as to introduce them to the S-Plus statistical software".—The American Statistician"This book is a beginning statistics text that contains many S-Plus routines which have been supplied on an accompanying CD. The book is a potential vehicle for learning S-Plus by means of the hands-on approach of understanding the many existing routines."—Journal of Mathematics Psychology

• PREFACE ACKNOWLEDGMENTS PART I: INTRODUCTION AND STATISTICAL THEORY 1. Statistical Theory 2. Generating Random Numbers 3. Frequency Distributions 4. Stem and Leaf Plots 5. Population Distributions 6. Measures of Central Tendency 7. Measures of Dispersion 8. Sample Size Effects 9. Tchebysheff Inequality Theorem 10. Normal Bell-Shaped Curve PART II: PROBABILITY AND PROBABILITY DISTRIBUTIONS 11. Probability 12. Joint Probability 13. Addition Law of Probability 14. Multiplication Law of Probability 15. Conditional Probability 16. Combinations and Permutations PART III: MONTE CARLO AND STATISTICAL DISTRIBUTIONS 17. Binomial Distribution 18. Monte Carlo Simulation 19. Normal Distribution 20. t Distribution 21. Chi-square distribution 22. F Distribution PART IV: SAMPLING AND INFERENCE 23. Sampling Distributions 24. Central Limit Theorem 25. Confidence Intervals 26. Hypothesis Testing 27. Type I Error 28. Type II Error PART V: HYPOTHESIS TESTING IN RESEARCH 29. z test statistic for proportions 30. Chi-square test statistic 31. t Test for Mean Differences 32. Analysis of Variance 33. Correlation 34. Linear Regression PART VI: REPLICABILITY OF FINDINGS 35. Cross Validation 36. Jackknife 37. Bootstrap 38. Meta-Analysis 39. Significance Testing vs. Practical Importance GLOSSARY OF TERMS ABOUT THE AUTHORS APPENDIX ANSWERS TO CHAPTER EXERCISES AUTHOR INDEX SUBJECT INDEX

"A particularly useful feature of each chapter is the summary, which, in a succinct fashion, lists the concepts to be mastered."—CHOICE"With the inclusion of S-Plus script files, their book [Schumacker/Akers] is intended to help students understand the statistical concepts covered in the classroom and in the primary textbook, as well as to introduce them to the S-Plus statistical software".—The American Statistician"This book is a beginning statistics text that contains many S-Plus routines which have been supplied on an accompanying CD. The book is a potential vehicle for learning S-Plus by means of the hands-on approach of understanding the many existing routines."—Journal of Mathematics Psychology

• PREFACE ACKNOWLEDGMENTS PART I: INTRODUCTION AND STATISTICAL THEORY 1. Statistical Theory 2. Generating Random Numbers 3. Frequency Distributions 4. Stem and Leaf Plots 5. Population Distributions 6. Measures of Central Tendency 7. Measures of Dispersion 8. Sample Size Effects 9. Tchebysheff Inequality Theorem 10. Normal Bell-Shaped Curve PART II: PROBABILITY AND PROBABILITY DISTRIBUTIONS 11. Probability 12. Joint Probability 13. Addition Law of Probability 14. Multiplication Law of Probability 15. Conditional Probability 16. Combinations and Permutations PART III: MONTE CARLO AND STATISTICAL DISTRIBUTIONS 17. Binomial Distribution 18. Monte Carlo Simulation 19. Normal Distribution 20. t Distribution 21. Chi-square distribution 22. F Distribution PART IV: SAMPLING AND INFERENCE 23. Sampling Distributions 24. Central Limit Theorem 25. Confidence Intervals 26. Hypothesis Testing 27. Type I Error 28. Type II Error PART V: HYPOTHESIS TESTING IN RESEARCH 29. z test statistic for proportions 30. Chi-square test statistic 31. t Test for Mean Differences 32. Analysis of Variance 33. Correlation 34. Linear Regression PART VI: REPLICABILITY OF FINDINGS 35. Cross Validation 36. Jackknife 37. Bootstrap 38. Meta-Analysis 39. Significance Testing vs. Practical Importance GLOSSARY OF TERMS ABOUT THE AUTHORS APPENDIX ANSWERS TO CHAPTER EXERCISES AUTHOR INDEX SUBJECT INDEX

"A particularly useful feature of each chapter is the summary, which, in a succinct fashion, lists the concepts to be mastered."—CHOICE"With the inclusion of S-Plus script files, their book [Schumacker/Akers] is intended to help students understand the statistical concepts covered in the classroom and in the primary textbook, as well as to introduce them to the S-Plus statistical software".—The American Statistician"This book is a beginning statistics text that contains many S-Plus routines which have been supplied on an accompanying CD. The book is a potential vehicle for learning S-Plus by means of the hands-on approach of understanding the many existing routines."—Journal of Mathematics Psychology