YES, it is possible - but only if this generalisation (or, inference) is done right. In this post I will talk about Inferential Statistics; it provides some essential rules which make it possible to draw conclusions about the population from the sample scores.
All the statistics formulas I have discussed so far are true, and are perfectly safe to use in the experiment. However, we always test just a sample of a population, as it is simply impossible to test the entire population. Is it possible then to say that our experiment results are true for the population if we only tested its little part?..
YES, it is possible - but only if this generalisation (or, inference) is done right. In this post I will talk about Inferential Statistics; it provides some essential rules which make it possible to draw conclusions about the population from the sample scores.
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Basics: Dispersion (Variability) of data: Deviation, Variance, Standard Deviation. With video!9/12/2012 Previously, I talked about the mean, median, mode and outliers which described our data in terms of its central tendency. Today I will cover the idea of Variability, or Dispersion. There are three concepts which allow us to determine it: Deviation, Variance and Standard Deviation. There is also such thing as a Standard Deviation, which I will cover in the next post. There are also two great video lessons made by Khan Academy, which explain variance in a very easy to follow and entertaining way. Variability |
AuthorI am a 21 years old Psychology undergraduate in Edinburgh University. The idea behind this site is to provide some help to fellow students, to make studying psychology (including stats...) as much fun as possible and motivate me not to skip those 9am lectures! Archive
February 2013
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