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Statistical People | Defend Yourself Against Statistics!

Defend Yourself Against Statistics! (by Bob Hubbard)

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Statistical People | Defend Yourself Against Statistics! | studiolearningsystem.wordpress.com Reviews

https://studiolearningsystem.wordpress.com

Defend Yourself Against Statistics! (by Bob Hubbard)

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Measures of Central Tendency | Statistical People

https://studiolearningsystem.wordpress.com/2011/08/19/measures-of-central-tendency

Skip to search - Accesskey = s. Measures of Central Tendency. By Bob Hubbard on August 19, 2011. Measures of central tendency. And , mode. Aka the “average”. The arithmetic mean (or average) is the most popular and well known measure of central tendency. It can be used with both discrete and continuous data, although its use is most often with continuous data (see our Types of Variable. Guide for data types. Then the sample mean, usually denoted by. Pronounced x bar), is:. An important property of the me...

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Probability Distribution | Statistical People

https://studiolearningsystem.wordpress.com/2010/07/26/probability-distribution

Skip to search - Accesskey = s. By Bob Hubbard on July 26, 2010. Identifies either the probability of each value of an unidentified random variable. When the variable is discrete. Or the probability of the value falling within a particular interval (when the variable is continuous. The probability distribution describes the range of possible values that a random variable. Can attain and the probability. That the value of the random variable is within any (measurable) subset of that range. Are often inade...

3

Kurtosis | Statistical People

https://studiolearningsystem.wordpress.com/2010/01/19/kurtosis

Skip to search - Accesskey = s. By Bob Hubbard on January 19, 2010. From the Greek word κυρτός,. Meaning bulging) is a measure of the “peakedness” of the probability distribution. Higher kurtosis means more of the variance. Is the result of infrequent extreme deviations, as opposed to frequent modestly sized deviations. The far red light has no effect on the average speed of the gravitropic reaction. But it changes kurtosis from platykurtic to leptokurtic ( 0.194 0.055). The fourth standardized moment.

4

Pearson’s Chi-Square Test | Statistical People

https://studiolearningsystem.wordpress.com/2010/01/19/pearsons-chi-square-test

Skip to search - Accesskey = s. Pearson’s Chi-Square Test. Posted in Hypothesis Testing. By Bob Hubbard on January 19, 2010. Is the best-known of several chi-square tests. Procedures whose results are evaluated by reference to the chi-square distribution. Its properties were first investigated by Karl Pearson. In contexts where it is important to make a distinction between the test statistic. And its distribution, names similar to Pearson Χ-squared. Test or statistic are used. It tests a null hypothesis.

5

Histograms | Statistical People

https://studiolearningsystem.wordpress.com/2011/08/20/histograms

Skip to search - Accesskey = s. By Bob Hubbard on August 20, 2011. Histograms are plots that help you discover, and show, the underlying frequency distribution. Shape) of a set of continuous. Data This allows the inspection of the data for its underlying distribution (e.g. normal distribution), outliers, skewness, etc. An example of a histogram, and the raw data it was constructed from, is shown below:. How do you construct a histogram from a continuous variable. In the example above, age. 36,38,36,38.

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Accomplishments | Bob Hubbard

https://bobhubbardscareer.wordpress.com/resume/accomplishments

Bobhubbard.atl@gmail.com – 1 770 317 1841. Designed, Developed, and Led Deployment of. 8220;Lean IT” in AT&T’s IT division. Total Impact (savings/cost avoidance) for Lean IT PDCA projects for 2010 $1.7M and $6.8M annually. Developed and Delivered Intro to Lean IT ,. Hands On Workshop for IT MATREX members. Led AT&T Tax Exemption team Kaizen Event. Similar to GE Work Out. Kaizen event lowered cycle time for two key processes by 24% and 18%. Improve Software Testing Efficiency. Application developers were ...

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Education | Bob Hubbard

https://bobhubbardscareer.wordpress.com/resume/education

Bobhubbard.atl@gmail.com – 1 770 317 1841. University of Georgia 1979. Instructional Systems Design Certificate. University of Georgia 2000. Six Sigma Black Belt. Delta Air Lines Technical Operations, 2004. Accredited by the American Council on Education. Embry Hills UMC, Atlanta, Georgia. Local School Advisory Committee. Nesbit Elementary School, Gwinnett County, Georgia, (2 years Chairman). Chairman of the Board of Trustees. Tau Kappa Epsilon, University of Georgia. Bob's Lean Learning Blog.

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Work History | Bob Hubbard

https://bobhubbardscareer.wordpress.com/resume/work-history

Bobhubbard.atl@gmail.com – 1 770 317 1841. Six Sigma Black Belt, IT Process and Portfolio Management. AT&T, 03/06 to present]. Support AT&T’s IT software development group by. Evangelizing Six Sigma problem solving methods to identify and implement performance solutions. Facilitate Green Belt classes, mentoring Green Belt candidates to successful completion, all in support of IT division’s Six Sigma performance improvement strategy. Managing Partner, Performance Improvement. Led implementation of perform...

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Recently | Bob Hubbard

https://bobhubbardscareer.wordpress.com/resume/recently

Bobhubbard.atl@gmail.com – 1 770 317 1841. Focused Communication and Engagement Strategy. On Three Relevant Target Audiences. IT Leaders, Quality Practitioners, and those New to Continuous Improvement Receive Customized Messaging. IT Leaders now receive bullet point messages. Related to each project closure. These announcements include only the relevant points of each project, and have links to more information. Led IT-Wide Cycle Time Reduction Effort. Using Value Stream Mapping. Created integrated Value...

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Statistical People | Defend Yourself Against Statistics!

Skip to search - Accesskey = s. By Bob Hubbard on August 20, 2011. Histograms are plots that help you discover, and show, the underlying frequency distribution. Shape) of a set of continuous. Data This allows the inspection of the data for its underlying distribution (e.g. normal distribution), outliers, skewness, etc. An example of a histogram, and the raw data it was constructed from, is shown below:. How do you construct a histogram from a continuous variable. In the example above, age. 36,38,36,38.

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