Description
Book SynopsisMark L. Berenson is Professor of Information Management and Business Analytics at Montclair State University and Professor Emeritus of Information Systems and Statistics at Baruch College. He currently teaches graduate and undergraduate courses in statistics and operations management in the School of Business, and an undergraduate course in international justice and human rights that he co-developed in the College of Humanities and Social Sciences.
Berenson received a BA in economic statistics and an MBA in business statistics from City College of New York and a PhD in business from the City University of New York. Berenson's research has been published in Decision Sciences Journal of Innovative Education, Review of Business Research, The American Statistician, Communications in Statistics, Psychometrika, Educational and Psychological Measurement, Journal of M
Table of Contents
Brief Contents
First Things First (online)
- Defining and Collecting Data
- Organizing and Visualizing Variables
- Numerical Descriptive Measures
- Basic Probability
- Discrete Probability Distributions
- The Normal Distribution and Other Continuous Distributions
- Sampling Distributions
- Confidence Interval Estimation
- Fundamentals of Hypothesis Testing: One-Sample Tests
- Two-Sample Tests
- Analysis of Variance
- Chi-Square and Nonparametric Tests
- Simple Linear Regression
- Introduction to Multiple Regression
- Multiple Regression Model Building
- Time-Series Forecasting
- Business Analytics
- Getting Ready to Analyze Data in the Future
- Statistical Applications in Quality Management (online)
- Decision Making (online)
