PSYB07H3 Lecture Notes - Lecture 4: Quartile, Variance, European Route E6
Document Summary
Sample mean is unbiased estimator of population mean (the expectation of getting the same mean for sample and population) The larger the sample size the more unbiased estimator is for the average. Only for mean not for median nor mode. The population is unknown, collect sample, x bar should estimate for mew or population. Sample size increases, so the average of the total mean is 9 (unbias) Sample size increases, the median of all of the medians is. The means are clustering population mean or median. The median isn"t clustering around 9 (efficient) Having a larger sample size means more efficient. With small variability, there is little discrimination that is made with little gaps to differentiate about the values. With small variability, there can be discriminations made that can differentiate gaps in values. Taking highest score lowest score and result is the range. This range is low resistance (sensitive to outliers)
