September 16 Lecture

# September 16 Lecture - Lecture Analysis Two Techniques 1...

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Lecture September 16, 2011

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Analysis Two Techniques: 1. Graphical (visualize) 2. Numerical (calculations)
Example Dataset Consider the following data: 1,2,2,3,3,3,4,4,4,4,5,5,5,6,6,7 We can build a display simply by ticking off every time we see a number.

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1,2,2,3,3,3,4,4,4,4,5,5,5,6,6,7
Centre Rough Definition – The middle of the data -- “typical” observation

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Spread Rough Definition - How separated our data values are. With respect to what though?
Shape The appearance of the data.

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Shape The shape of a dataset can be determined numerically using measures such as kurtosis and skewness – but we will not investigate these statistics in this course.
Centre There are 3 measures of “central tendency”: A) Mean B) Median C) Mode

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Mode The most popular value. Also the most useless statistic. e.g. 1, 1, 1, 2, 20
Mean You would call it an “average”. You can also think of it as the balancing point of the distribution. Notation:

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## This note was uploaded on 10/04/2011 for the course STAT 202 taught by Professor Springer during the Fall '09 term at Waterloo.

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September 16 Lecture - Lecture Analysis Two Techniques 1...

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