SOCI 2030 Lecture Notes - Lecture 8: Simple Random Sample, Standard Deviation, Cluster Sampling
Document Summary
Probability sampling: meaning of probability sampling, conscious and unconscious sampling bias, representativeness and probability of selection, random selection, probability theory, sampling distributions, and estimates of sampling error. *the probability of winning the large jackpot in the 6/49 lottery =113,983,816 sampling distribution: Independent samples being drawn from the sampling frame: the more samples you draw the more it represents this type of distribution, you need to understand that the blue part covers 68% of the distribution within one standard deviation. Both the blue and the orange cover two standard era of the distribution and when all three of the colours cover 99. 1% of the distribution: with two standard deviation covers 95% of the cases/distributions. Your iq score is 130: large sd (sd = 30): your score is within the 68% distribution. 120 +/- 30 = as low as 70 and as high as 130: small sd (sd = 15): your score is beyond the 68% distribution.
