CRIM 320 Lecture Notes - Lecture 3: Statistical Inference, Standard Deviation, Statistical Significance
9 Apr 2020
School
Department
Course
Professor
Document Summary
Distribution and statistical significance is what makes this inferential leap. Sampling distribution distribution of all possible sample outcomes for a statistic. All possible ranges and likelihoods associated with those ranges are our statistical interest. Statistic can be a mean or standard deviation. Standard deviation measures the variability of a statistic. Looking at variability of the mean - mean was our statistic of interest and we are interested in the variability of the scores around the mean. 1 sample would produce 1 mean with 1 standard deviation around that mean. A large number of samples would produce a distribution for the statistic. Bc we don"t know what the # were interested in is in the population. Taking multiple samples is useful in improving our guess. A bunch of samples = distribution of statistic. Standard error standard deviation of the sampling distribution. X 1 and x 7 - not many selected those we.
