Statistics for Library and Information Services, written for non-statisticians, provides logical, user-friendly, and step-by-step instructions to make statistics more accessible for students and professionals in the field of Information Science. It emphasizes concepts of statistical theory and data collection methodologies, but also extends to the topics of visualization creation and display, so that the reader will be able to better conduct statistical analysis and communicate findings. Don't miss the book's companion Web site at www.statisticsforlis.org
Statistics for Library and Information Services, written for non-statisticians, provides logical, user-friendly, and step-by-step instructions to make statistics more accessible for students and professionals in the field of Information Science. It emphasizes concepts of statistical theory and data collection methodologies, but also extends to the topics of visualization creation and display, so that the reader will be able to better conduct statistical analysis and communicate findings. Don't miss the book's companion Web site at www.statisticsforlis.orgHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Alon Friedman is an Assistant Professor at the School of Information at the University of South Florida. He teaches Introduction to Visualization and Big Data to undergraduate and graduate students. Previously he has taught introductory and advanced statistics undergraduate, graduate, and PhD students for 10 years across the New York City region. His research interests and expertise focus on classification and visualization using Open Source R. Alon also has worked as a web programmer in NYC and Tel Aviv.
Inhaltsangabe
Part I INTRODUCTION TO STATISTICS CHAPTER 1 Introduction CHAPTER 2 Research Design CHAPTER 3 Data (Types and Collection Methods) CHAPTER 4 How to Run R Part II MAKING SENSE OF STATISTICS CHAPTER 5 Descriptive statistics CHAPTER 6 Bivariate Statistics CHAPTER 7 Probability Theory CHAPTER 8 Random Variables and Probability Distributions CHAPTER 9 Sampling Distributions CHAPTER 10 Confidence Interval Estimation CHAPTER 11 Fundamentals of Hypothesis Testing CHAPTER 12 Correlation and Regression CHAPTER 13 Analysis of Variances and Chi-square Tests CHAPTER 14 Time Series and Predictive Analytics Part III VISUALIZATION IN R CHAPTER 15 Visualization Display CHAPTER 16 Advanced Visualization Display CHAPTER 17 Applying visualization to statistics analysis APPENDIX A Frequency used formulas used in this book APPENDIX B Frequency R commands APPENDIX C References
Part I INTRODUCTION TO STATISTICS CHAPTER 1 Introduction CHAPTER 2 Research Design CHAPTER 3 Data (Types and Collection Methods) CHAPTER 4 How to Run R Part II MAKING SENSE OF STATISTICS CHAPTER 5 Descriptive statistics CHAPTER 6 Bivariate Statistics CHAPTER 7 Probability Theory CHAPTER 8 Random Variables and Probability Distributions CHAPTER 9 Sampling Distributions CHAPTER 10 Confidence Interval Estimation CHAPTER 11 Fundamentals of Hypothesis Testing CHAPTER 12 Correlation and Regression CHAPTER 13 Analysis of Variances and Chi-square Tests CHAPTER 14 Time Series and Predictive Analytics Part III VISUALIZATION IN R CHAPTER 15 Visualization Display CHAPTER 16 Advanced Visualization Display CHAPTER 17 Applying visualization to statistics analysis APPENDIX A Frequency used formulas used in this book APPENDIX B Frequency R commands APPENDIX C References
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