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For more information, please see full course syllabus of Statistics
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Lecture Comments (10)

0 answers

Post by Mohamed E Sowaileh on July 10, 2017

Hello Dr. Philip Yates,
I hope you are very well.

I am a student who is extremely weak in math. In order to be very strong in math, specially for engineering field, could you provide me with sequential order of mathematical topics and textbooks. With what should I begin so that I can master big topics like calculus, statistics, probability ... etc.

Your guidance is precious to me.

Thank you so much.

0 answers

Post by Firebird wang on November 2, 2016

Are you able to watch the two video which called AP Statistics Practice Test 2013 an AP Statistics Practice Test 2014? Both videos showing network error, I dont know why. I already tried in different computers already.

0 answers

Post by Hen McGibbons on August 2, 2015

would this video series prepare me for an introduction to statistics course at community college?

1 answer

Last reply by: C. Barnes
Mon Jun 16, 2014 2:50 PM

Post by Laura Gregory on May 10, 2014

You have helped me a lot in two days already... important note: I think 16 squared is 256

Can you go into to detail about t-tests and box and whisker plots please

0 answers

Post by felix michoutchenko on January 13, 2012

Can year of school be considered a quantitative variable (year 1,2,3,4,...,12) because you can find the mean school year for a student in a particular school?

0 answers

Post by Raisa Castillo on January 27, 2011

Is element the same as individuals in statistics class

2 answers

Last reply by: Richard Stoecker
Tue Jul 27, 2010 8:49 AM

Post by Julie Katrenak on January 7, 2010

For the last slide on Summation Notation, we should get 256. 14 squared is 196 but 16 squared is 256.

Related Articles:

Basic Ideas

  • Element: Specific subject or object about which the information is collected. Also called a member or observational unit.

  • Variable: Any information or data collected from elements. A variable can take different values from different elements. Broken down into qualitative or quantitative variables.

  • Quantitative variables can be further broken down into discrete and continuous variables.

  • Observation: The value of a variable for an element. Basically a measurement.

  • Data Set: A collection of observations of one or more variables.

  • Cross-Section Data: Data collected on different elements at the same point in time or for the same period of time.

  • Time-Series Data: Data colleced on the same element of the same variable at different points in time or for different periods of time.

Basic Ideas

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
  • Basic Definitions 0:09
    • Element (member, unit)
    • Variable
    • Observation (measurement)
    • Data Set
  • Example: Basic Definitions 1:55
  • Qualitative Variables 4:58
  • Quantitative Variables 6:16
    • Discrete Variable
    • Continuous Variable
  • Cross Section vs Time Series Data 8:58
  • Summation Notation 10:50
  • Summation Notation 2 12:59
  • Summation Notation 3 15:32