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Köp båda 2 för 1100 krSanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFA). He enjoys research in statistics and data analytics applied to a wide range of business disciplines. Dr. Jaggia has published numerous papers in leading academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.
Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFA). Dr. Kelly has published in a wide variety of academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. Her courses in applied statistics and econometrics are popular with students as well as working professionals. She has also served as a consultant for a number of companies; her most recent work focused on how large financial institutions satisfy requirements mandated by the Dodd-Frank Act. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.
chapter 1: data and data preparation
chapter 2: data visualization
chapter 3: numerical descriptive measures
chapter 4: introduction to probability
chapter 5: discrete probability distributions
chapter 6: continuous probability distributions
chapter 7: sampling and sampling distributions
chapter 8: interval estimation
chapter 9: hypothesis testing
chapter 10: comparisons involving means
chapter 11: comparisons involving proportions
chapter 12: regression analysis
chapter 13: more topics in regression analysis
chapter 14: forecasting with time series data
appendix
a big data sets: variable description and data dictionary
b getting started with excel