PSYB07H3 Lecture Notes - Lecture 4: Interquartile Range, Statistical Inference, Quartile
Document Summary
Expected value of = : from an individual sample may not = (of a population) sample may not equal population, if i average the from many samples, the average (mean of the means) would = . Sample of 10 may or may not be a representation of the entire class (population) it depends. Sample median population median biased to the sample you take in the picture on the right median is. Estimate (or population median) = 9: sample means cluster more closely to 9. Because we know the data is all being used, every time we take a sample, that sample is closer to 9 than the median may be. Mean is more efficient in this way: mean more efficient. Too get more efficiency: take one sample with a large n gives us a close approximation to the population parameter. Small variability (49&51) they are not very far away from the middle.