CRIM 320 Lecture 5: Generalizing from Samples to Populations
16 Apr 2018
School
Department
Course
Professor
Document Summary
Crim320 lecture 5: generalizing from samples to populations. What is the average age of students at sfu. Each avg can be treated as individual score. Accumulation of scores have a normal distribution. Although individual sample means may differ from the pop mean, by presenting them in a. Allows us to assume that any sample statistic (eg. mean) that we generate from a known pop will lie. The bigger the sample, the tighter the distribution (curve more pointy) Distribution that describes the variation in the values of the mean over a series of samples. Sample distribution of means and the central limit theorem. Sampling distribution of means histogram they would approximate the normal curve. Central limit theorem along a normal distribution. The mean of the distribution (the mean of the sample means) will be equal to the pop mean. The distribution of means will be tightly clustered around the true pop mean should be close enough to the pop mean.
