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Allan J. Rossman has been an Associate Professor in the Department of Statistics at California Polytechnic State University in San Luis Obispo since 2001. Prior to moving to the West Coast, Dr. Rossman taught at Dickinson College from 1989 to 2001 and received his undergraduate and graduate degrees respectively at Geneva College and Carnegie Mellon University. Dr. Rossman is the originator of the WORKSHOP STATISTICS series of course books that lead students to explore and discover fundamental concepts and methods of statistics.
Inhaltsangabe
Unit 1: Collecting Data and Drawing Conclusions Topic 1: Data and Variables Topic 2: Data and Distributions Topic 3: Drawing Conclusions from Studies Topic 4: Random Sampling Topic 5: Designing Experiments Unit 2: Summarizing Data Topic 6: Two-Way Tables Topic 7: Displaying and Describing Distributions Topic 8: Measures of Center Topic 9: Measures of Speed Topic 10: More Summary Measures and Graphs Unit 3: Randomness in Data Topic 11: Probability Topic 12: Normal Distributions Topic 13: Sampling Distributions: Proportions Topic 14: Sampling Distributions: Means Topic 15: Central Limit Theorem Unit 4: Inference from Data: Principles Topic 16: Confidence Intervals: Proportions Topic 17: Tests of Significance: Proportions Topic 18: More Inference Considerations Topic 19: Confidence Intervals: Means Topic 20: Tests of Significance: Means Unit 5: Inference from Data: Comparisons Topic 21: Comparing Two Proportions Topic 22: Comparing Two Means Topic 23: Analyzing Paired Data Unit 6: Inferences with Categorical Data Topic 24: Goodness-of-Fit Tests Topic 25: Inference for Two-Way Tables Unit 7: Relationships in Data Topic 26: Graphical Displays of Association Topic 27: Correlation Coefficient Topic 28: Least Squares Regression Topic 29: Inference for Correlation and Regression TABLE I Random Digits. TABLE II Standard Normal Probabilities. TABLE III t-Distribution Critical Values. TABLE IV Chi-Square Distribution Critical Values. APPENDIX A Student Glossary. APPENDIX B Sources for Studies and Datasets. APPENDIX C List of Data Files and Applets. Additional Content (online only): Topic 30: Probability Rules (online only) Topic 31: Random Variables (online only) Topic 32: Binomial Distribution (online only) Topic 33: Analysis of Variance (online only)
Unit 1: Collecting Data and Drawing Conclusions Topic 1: Data and Variables Topic 2: Data and Distributions Topic 3: Drawing Conclusions from Studies Topic 4: Random Sampling Topic 5: Designing Experiments Unit 2: Summarizing Data Topic 6: Two-Way Tables Topic 7: Displaying and Describing Distributions Topic 8: Measures of Center Topic 9: Measures of Speed Topic 10: More Summary Measures and Graphs Unit 3: Randomness in Data Topic 11: Probability Topic 12: Normal Distributions Topic 13: Sampling Distributions: Proportions Topic 14: Sampling Distributions: Means Topic 15: Central Limit Theorem Unit 4: Inference from Data: Principles Topic 16: Confidence Intervals: Proportions Topic 17: Tests of Significance: Proportions Topic 18: More Inference Considerations Topic 19: Confidence Intervals: Means Topic 20: Tests of Significance: Means Unit 5: Inference from Data: Comparisons Topic 21: Comparing Two Proportions Topic 22: Comparing Two Means Topic 23: Analyzing Paired Data Unit 6: Inferences with Categorical Data Topic 24: Goodness-of-Fit Tests Topic 25: Inference for Two-Way Tables Unit 7: Relationships in Data Topic 26: Graphical Displays of Association Topic 27: Correlation Coefficient Topic 28: Least Squares Regression Topic 29: Inference for Correlation and Regression TABLE I Random Digits. TABLE II Standard Normal Probabilities. TABLE III t-Distribution Critical Values. TABLE IV Chi-Square Distribution Critical Values. APPENDIX A Student Glossary. APPENDIX B Sources for Studies and Datasets. APPENDIX C List of Data Files and Applets. Additional Content (online only): Topic 30: Probability Rules (online only) Topic 31: Random Variables (online only) Topic 32: Binomial Distribution (online only) Topic 33: Analysis of Variance (online only)
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