PSYC 3000 Lecture Notes - Lecture 7: Standard Score, Sampling Distribution
2 Aug 2016
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Document Summary
When a sampling distribution is normal the root to finding the p value is easier. Reason is, the normal distribution is well mapped out and things are known about a normal dis. Ex: 1. 96 +/- sd is the most extreme scores at 2. 5% of each tail. 2. 58 +/- sd shows most extreme scores at 1% on each tail. All you need to know is mean and sd, which is easy to find in normal distribution. Z score: expected value and observed value deviate from each other. Distance is then recoded into how many sd separate observed from expected. Need to ome up with notation for sampling distribution. Sd for sampling distribution is called standard error. Doesn"t need to be done just with the mean, could be done with medians. Once you have observations that pick out a point in sampling observation. You can figure out how much observations deviate from expected results (z-score)
