HUMBEHV 3HB3 Lecture Notes - Lecture 5: Mathematical Notation, Sampling Distribution, Categorical Variable

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It can be manipulated like the mean can. If you do a sampling distribution, in many situations, the mean will be stable from one sample to the next than others. It is the least resistant to extreme scores. the mean mode and median. It enters readily into algebraic equations: the variation between sample is more stable, we are assuming that averaging the data makes sense, but it may not make sense if they are. It is less robust to extreme values, the value may not actually exist in the data. categorical data. Summation notation: sigma is also called the summation sign, you are summing up all the scores, brackets change the order. It is used in the mean, this is the average. It is not used a lot but they are more robust than the usual mean. Part 2 measures of variability: focus on summarizing a distributions dispersion or variability.

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