MATH 1150 Lecture Notes - Lecture 4: Unimodality
3 Feb 2017
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Document Summary
Section 2. 2 summarizing important features of a numerical distribution. Center a typical value, if the distribution is normal, the center is typical: if it is bimodal/multimodal, the center is not typical, if it is skewed it is not typical, (line represents center). Spread look at the different lengths, not the height. Outliers data value much larger (or found outside of) or smaller than the rest of data: reasons for noticing: Unusual value boss"s salary = larger than the rest of employees. Typing mistake in calculator: always mention if you see them, as they are always important to describing data, they increase the variance. Variability describes how spread out the data values are: in statistics, the distribution is preferred to have a low variability because that would mean that the data is more accurate, example: Low variability = a place with consistent temperatures.
