CS235 Lecture Notes - Lecture 8: Statistical Inference, Descriptive Statistics, Central Tendency
9 Oct 2014
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Document Summary
Quantitative analysis: data is only as good as the instrument used. With descriptive statistics you are simply describing what is or what the data shows. With inferential statistics, you are trying to reach conclusions that extend beyond the immediate data alone: univariate analysis, refers to the examination of one variable at a time. Mean- average as understood as everyday use- that is, the sum of all values in a distribution divided by the number of values: arithmetical average of all the results is called the mean. Mode- the value that occurs most frequently in a distribution. Can be applied to an ordinal value: another measure is the variance or standard deviation: Measure of the typical" difference between an observation in a: variation population and the population mean. Interval/ratio variables: measures how closely the values in a distribution are to the mean, calculated as follows: Square each value calculated in the previous step.
