Statistics Spotlight

2010

Statistics Roundtable: Further Explanation

by Snee, Ronald D., Hoerl, Roger W.

The purpose of a roundtable is to facilitate discussion. Here, we want to facilitate discussion on statistical engineering....


Statistics Roundtable: Predicting Problems

by Meeker, William Q., Doganaksoy, Necip, and Hahn, Gerald J.

Manufacturers must frequently predict the number of future field failures for a product using past field-failure data, especially when an unanticipated failure mode is discovered in the field....


Statistics Roundtable: A Sample Plan

by Anderson-Cook, Christine M., Lu, Lu

Often, there are situations in which you might want to draw a representative sample from a finite population to characterize some aspects of its distribution....


Statistics Roundtable: The Statistical Engineer

by Mason, Robert L., and Young, John C.

Many engineers working in processing industries often are overwhelmed by the amount of data available to them. Until recently, most industries collected only a small amount of information on their processes....


Statistics Roundtable: Poisson Power

by Hare, Lynne B.

The Poisson distribution may be the Rodney Dangerfield of statistics. It doesn’t get the use—and respect—it deserves. Yet, when applied properly, it can aid the decision-making process considerably....


Statistics Roundtable: Imputation Explanation

by Allen, I. Elaine; Seaman, Julia E.

The United States recently completed its 23rd federal census of population. The first census was mandated by the U.S. Constitution and carried out under Thomas Jefferson in 1790....


Statistics Roundtable: Tried and True

by Hoerl, Roger W. and Snee, Ronald D.

A review of past Statistics Roundtable columns reveals that statisticians and quality professionals are always looking for better ways to increase the breadth and effectiveness of the use of statistical thinking and methods....


Statistics Roundtable: Closing the Gap

by Hoerl, Roger W.; Snee, Ronald D.

The philosopher Thomas Kuhn showed that a way of thinking (a paradigm) lasts until the problems no longer adequately addressed by the paradigm are so important that a new paradigm is needed to deal with that list of unsolved problems....


Statistics Roundtable: Detection Decisions

by Mason, Robert L.; Young, John C.

A potential outlier is an observation located a considerable distance from the main data swarm. The inclusion of such outlying observations in a data analysis can produce erroneous estimates of means, variances and the correlations between variables....


Statistics Roundtable: A Matter of Trust

by Anderson-Cook, Christine M.

Every day, we constantly balance having trust that things will work and protecting against things that might go wrong....


Statistics Roundtable: Outlier Options

by Seaman, Julia E.; Allen, I. Elaine

Even in basic statistics courses, we teach that outliers in a data set can pose big problems. We often teach that visually examining data can help identify outliers. Beyond detection, few textbooks devote much time to statistically assessing outliers....


Statistics Roundtable: Champagne or Beer?

by Hare, Lynne B.

Several years ago, during a difficult Bach passage, our conductor stopped the chorus and addressed the bass section: “Gentlemen, I ask for champagne, and you give me beer.”...



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