Box Plot

A box-and-whisker plot uses simple glyphs that summarize a quantitative distribution with five standard statistics: the smallest value, lower quartile, median, upper quartile, and largest value. This summary approach allows the viewer to easily recognize differences between distributions. Data from the Michelson–Morley experiment. Implementation contributed by Jason Davies. This example periodically randomizes the values to demonstrate transitions.
Kathleen Marrs, Ph.D.
Kathleen wants to live in a world filled with open books, open source, open hearts, and open minds in which diversity is embraced and creativity flourishes. A long time CPA turned online professor, Kathleen’s life was transformed upon completion of her dissertation An Investigation of the Factors that Influence Faculty and Student Acceptance of Mobile Learning in Online Higher Education.Her statistical analyses was called ”pioneering” by her committee chair Dr. Marlyn K. Littman and brought Kathleen full circle back to her number-crunching roots inspiring her to earn a second master’s in Business Intelligence.Kathleen plans to continue her studies of contemporary issues related to teaching, learning, and technology and loves to help undergrad and grad students achieve their academic and professional goals. As a lifelong learner she also plans on continuing her quest to understand the problems posed by mobile and micro learning formats and find innovative ways of helping people maximize the benefits these emerging technologies afford.

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