Fundamentals of Industrial Quality Control, Third Edition
"Quality" is the latest buzz word in business and industry-quality control, quality assurance, quality improvement, and quality systems. But what does quality mean to you? Fundamentals of Industrial Quality Control, Third Edition shows how the concept of "quality" can be validated with basic statistical methods.
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95 percent confidence acceptance sampling accepting a lot accepting material Aft-Tech analysis arithmetic mean binomial distribution characteristics components confidence interval control chart control limits cumulative defective material descriptive statistics double sample sampling Example failure rate favorable events fewer defects frequency histogram frequency polygon hole diameters identified inches individual values Juran LTPD measured midpoint normal curve null hypothesis number of defects OC curve OOOO'O OOOO'O OOOošO organization percent defective percentage performance Poisson distribution population probability distribution probability of accepting probability of finding problems process capability process capability indices quality systems range rectifying inspection rejected reliability requirements sample averages sample data sample sampling plan sample standard deviation Sampling inspection Scrap cost second sample selected at random Shewhart shown in Figure shows single sample sampling Solution specs statistical quality control supplier table value test statistic variability vendor z transform