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For more information, please see full course syllabus of Statistics
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Lecture Comments (5)

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Post by Sarawut Chaiyadech on August 10, 2013

You are a great teacher!

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Post by River Hsieh on April 22, 2013

why you do not teach how to use TI -84?

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Post by Leslie Forrest on April 14, 2012

Great job! The video helped me so much!

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Post by Emmanuel Ogbu on October 7, 2011

this video is clear and perfect for my preference.

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Post by Andrzej Walczak on August 2, 2010

In the first percentile example isn't the 20th percentile nearer 33 rather than 28? The range between 24 and 59 is 35. Consequently the bin is 0.35 wide. Twenty bins give 7. 24+7=31. Am I correct?

Measuring Position: Quartiles, Percentiles, Standardized Scores

  • To find the quartiles, sort the data from lowest to highest.

  • The methods to find the percentiles are actually approximate percentiles.

  • Standardized scores, also known as z-scores, are used to compare observations from two or more distributions.

Measuring Position: Quartiles, Percentiles, Standardized Scores

Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.

  • Intro 0:00
  • Measure of Position 0:09
    • Quartile, Percentile, Z-Scores
  • Quartiles (Q1, Q2, Q3) 0:32
    • Example
  • Example: Quartiles 1:28
  • Example: Quartiles 3:27
  • Percentiles 5:44
  • Example: Percentiles 6:19
  • Example: Percentiles 7:24
  • Standardized Score (Z-Score) 8:27
  • Example: Standardized Score 9:23
  • Example: Standardized Score 10:21
  • Extra Example 1
  • Extra Example 2