HSS 2381 Lecture Notes - Lecture 3: Central Tendency, Interquartile Range, Multimodal Distribution
22 Sep 2016
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Hss2381c dr. hogan: measures of central tendency and hypothesis testing (ch 3 and 11) Both central tendency and variability can be expressed by indexes that are descriptive statistics. Descriptive statistics: used to describe the basic features of the data in a study. Provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data. Central tendency: provide a single number to characterize a distribution. I. e in a health clinic there is the most clients at 11am (20 ppl), therefore, need the most doctors and workers at 11am 12pm advantages: Can be used with data measured on any measurement level (including nominal level) Reflects an actual value in the distribution, easy to understand. Useful when there are 2+ popular" scores (i. e in multimodal distribution) disadvantages: Tends to be unstable (i. e value varies a lot from one sample to the next)
