TAILIEUCHUNG - Lecture Business statistics in practice (7/e): Chapter 17 - Bowerman, O'Connell, Murphree

Chapter 17 - Process improvement using control charts. After mastering the material in this chapter, you will be able to: Discuss the principles and importance of quality improvement, distinguish between common causes and assignable causes of process variation, sample a process by using rational subgrouping. | Chapter 17 Process Improvement Using Control Charts Copyright © 2014 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Process Improvement Using Control Charts Quality: Meaning and Historical Perspective Statistical Process Control and Causes of Variation Sampling a Process, Rational Subgrouping and Control Charts x and R Charts 17- Process Improvement Using Control Charts Continued Comparison of a Process with Specifications: Capability Studies Charts for Fraction Nonconforming Cause and Effect, Defect Concentration Diagrams (Optional) 17- : Meaning and Historical Perspective Quality Fitness for use Extent to which customer expectations are met Types of quality Quality of design Quality of conformance Quality of performance LO17-1: Discuss the principles and importance of quality improvement. 17- History of the Quality Movement 1924 Statistical Quality Control/Control Charts, .

• Quản trị kinh doanh
• Business Statistics
• Business statistics in practice
• Descriptive statistics
• Statistical process control
• Causes of variation
• Control charts
• 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
• Nonparametric methods
• Hypothesis test
• Decision theory
• Utility theory
• Posterior probabilities