PSYC 60 Lecture Notes - Lecture 6: Statistical Inference
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Therefore the sample variability is smaller since most scores are centered around the mean: to correct for this, we calculate the sample standard deviation with slightly different formula than the population standard deviation. Calculating standard deviation: population, ss= (x- )^2, =sqrt(ss/n, sample, ss= (x-m)^2, s=sqrt(ss/(n-1)) Samples calulations: calculating ss, find all deviations scores. Psyc 60 lecture 6 wednesday, october 5, 2016. Making use of variability: ex: the following scores are a sample (n=8): x: 6, 8, 4, 3, 5, 7, 4, 3. Give the values for ss (use one formula only, whichever works best in this case), variance, and standard deviation. Assessment questions: these scores are a sample from a population:3, 4,6, 3, 8, 7, 6. What is the value of the sd: s=1. 98, sqrt(ss/n-1), ss=23. 4, sqrt(23. 4/5)=1. 98, a sample systematically has less variability than the population it came from. True: the sd is the distance from the mean to the farthest point on the distribution curve.
