# Data Analysis and Decision Making, 4th Edition

3.2
Description

DATA ANALYSIS AND DECISION MAKING is a teach-by-example approach, learner-friendly writing style, and complete Excel integration focusing on data analysis, modeling, and spreadsheet use in statistics and management science. The Premium Online Content Website (accessed by a unique code with every new book) includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, allowing users to do sensitivity analysis. All of the add-ins is revised for Excel 2007 and notes about Excel 2010 are added where applicable.

Chapter 1: Introduction to Data Analysis and Decision Making

PART 1: EXPLORING DATA
Chapter 2: Describing the Distribution of a Single Variable
Chapter 3: Finding Relationships among Variables

PART 2: PROBABILITY AND DECISION MAKING UNDER UNCERTAINTY
Chapter 4: Probability and Probability Distributions
Chapter 5: Normal, Binomial, Poisson, and Exponential Distributions
Chapter 6: Decision Making under Uncertainty

PART 3: STATISTICAL INFERENCE
Chapter 7: Sampling and Sampling Distributions
Chapter 8: Confidence Interval Estimation
Chapter 9: Hypothesis Testing

PART 4: REGRESSION ANALYSIS AND TIME SERIES FORECASTING
Chapter 10: Regression Analysis: Estimating Relationships
Chapter 11: Regression Analysis: Statistical Inference
Chapter 12: Time Series Analysis and Forecasting

PART 5: OPTIMIZATION AND SIMULATION MODELING
Chapter 13: Introduction to Optimization Modeling
Chapter 14: Optimization Models
Chapter 15: Introduction to Simulation Modeling
Chapter 16: Simulation Models