Data Analysis for Managers with Microsoft Excel

Introduction to Data Analysis for Managers. Part I Getting, Describing and Summarizing Data: Describing Data - Graphs and Tables; Describing Data - Summary Measures; Getting the Right Data. Part II Probability, Uncertainty and Decision Making: Probability and Probability Distributions; Normal, Binomial, Poisson and Exponential Distributions; Decision Making Under Uncertainty. Part III Statistical Inference: Sampling and Sampling Distributions; Confidence Interval Estimation; Hypothesis Testing. Part IV Regression, Forecasting and Time Series: Regression Analysis - Estimating Relationships; Regression Analysis - Statistical Inference; Time Series Analysis and Forecasting. Part V Other Statistical Tools: Analysis of Variance and Experimental Design; Data Mining Techniques: Discriminant Analysis, Logistic Regression and OLAP; Statistical Process Control. Appendix: Statistical Reporting.