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Introduction to Industrial Statistics 2017

Event Details

Introduction to Industrial Statistics 2017

Time: April 13, 2017 at 9am to April 14, 2017 at 6pm
Location: Salt Lake City, UT
Street: Hilton Garden Inn Salt Lake City Airport 4975 Wiley Post Way, Salt Lake City, Utah, 84116, USA
City/Town: Salt Lake City, UT
Website or Map: http://www.globalcompliancepa…
Phone: 800-447-9407
Event Type: introduction, to, industrial, statistics, 2017
Organized By: NetZealous DBA as GlobalCompliancePanel
Latest Activity: Mar 2, 2017

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Event Description


This is an introductory course in industrial statistics that will equip the attendee to understand what he or she needs to know about basic descriptive statistics such as measurements of central tendency (average) and variation (range and standard deviation), and to use graphical methods such as the box and whisker plot to visualize these statistics for data sets. The concepts of variation and accuracy, and their effects on outgoing quality, will be introduced at the beginning. The basic data visualization tools of the histogram and Pareto chart also will be presented.

The next major subject will be statistical hypothesis testing, the foundation of almost everything we do in industrial statistics. The material is applicable not only to statistical process control and acceptance sampling (both of which will be discussed in this course) but also to design of experiments.

Attribute data (the kind that must be counted as integers, such as defects and nonconformances) will then be addressed through the hypergeometric, binomial, and Poisson distributions. The binomial distribution will be applied to the ANSI/ASQ Z1.4 plan for sampling by attributes to illustrate its application. Discovery sampling also will be addressed here, along with awareness of sequential sampling and its advantages.

Variables data are continuous scale data, the kind that are measured with real numbers. Models include the normal (bell curve distribution) and, for comparison of sample properties, the t and chi square distributions. Confidence intervals can be determined for the mean of a population on the basis of the sample average and its known or estimated standard deviation. The Central Limit theorem, which says that the averages of large samples will behave like a normal distribution regardless of the normality of the underlying population, also will be addressed.


Location: Salt Lake City, UT Date: April 13th & 14th, 2017 and Time: 9:00 AM to 6:00 PM


Venue: Hilton Garden Inn Salt Lake City Airport   4975 Wiley Post Way, Salt Lake City, Utah, 84116, USA




Register now and save $200. (Early Bird)


Price: $1,295.00 (Seminar Fee for One Delegate)


Until February 28, Early Bird Price: $1,295.00 From March 01 to April 11, Regular Price: $1,495.00

Register for 5 attendees   Price: $3,885.00 $6,475.00 You Save: $2,590.00 (40%)*



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NetZealous DBA as GlobalCompliancePanel


Phone: 1-800-447-9407

Fax: 302-288-6884


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