TAILIEUCHUNG - Lecture Business statistics in practice (7/e): Chapter 19 - Bowerman, O'Connell, Murphree

Chapter 19 - Decision theory. After studying this chapter you will be able to: Make decisions under uncertainty and under risk and assess the value of perfect information, make decisions using posterior analysis and assess the value of sample information, make decisions using utility theory. | Chapter 19 Decision Theory Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Decision Theory Introduction to Decision Theory Decision Making Using Posterior Probabilities Introduction to Utility Theory 19- Introduction to Decision Theory States of nature: A set of potential future conditions that affects decision results Alternatives: A set of alternative actions for the decision maker to chose from Payoffs: A set of payoffs for each alternative under each potential state of nature LO19-1: Make decisions under uncertainty and under risk and assess the value of perfect information. 19- Decision Making Under Uncertainty Maximin: Identify the minimum (or worst) possible payoff for each alternative and select the alternative that maximizes the worst possible payoff (Pessimistic) Maximax: Identify the maximum (or best) possible payoff for each alternative and select the alternative that maximizes the best .

• Quản trị kinh doanh
• Business Statistics
• Business statistics in practice
• Descriptive statistics
• Decision theory
• Utility theory
• Posterior probabilities
• Lecture Business statistics
• Bài giảng Thống kê doanh nghiệp
• Descriptive statistics tabular
• Descriptive statistics graphical presentations
• Summarizing quantitative data
• Essentials of modern business statistics
• Modern business statistics
• Graphical presentations
• numerical measures
• Exploratory data analysis
• Interval estimation
• Hypothesis tests
• Simple linear regression
• Basic statistics
• Statistics for business
• Describing data
• Types of statistics
• Quantitative variables
• Ordinal level data
• Data sources
• Statistical inference
• Illustrate sampling
• Graphical methods
• Tabular methods
• Graphically summarizing qualitative data
• Numerical methods
• Describing central tendency
• Measures of variation
• Sample spaces
• Elementary probability rules
• Compute conditional probabilities
• Discrete random variables
• Discrete probability distributions
• Binomial distribution
• Continuous random variables
• Continuous probability distributions
• Uniform distribution
• Sampling distributions
• Random sampling
• Stratified random
• Confidence intervals
• Sample size determination
• Hypothesis testing
• Alternative hypotheses
• Sampling distribution
• Equal variance
• Statistical inferences
• Population variances
• Experimental design
• Analysis of variance
• Randomized block design
• Chi square tests
• Chi square goodness of fit tests
• Multinomial experiment
• Simple linear regression analysis
• Simple linear regression model
• Model assumptions
• Multiple regression
• Least squares point estimate
• Multiple regression model
• Times series forecasting
• Index numbers
• Forecast error comparisons
• Statistical process control
• Causes of variation
• Control charts
• Nonparametric methods
• Hypothesis test