CRIM 320 Lecture Notes - Lecture 3: Confidence Interval, Interval Estimation, Statistical Parameter

• School: Simon Fraser University
• Department: Criminology
• Course: CRIM 320
• Professor: Steph Dawson

Document Summary

(cid:449)hat are (cid:862)(cid:272)onfiden(cid:272)e inter(cid:448)al(cid:863) and (cid:862)statisti(cid:272)al signifi(cid:272)an(cid:272)e(cid:863)? sample distribution: distribution of all possible standard outcomes for statistics. Standard deviation: measures the variability of a statistic. A large number of samples would produce a distribution for the statistic. Standard error: standard deviation of the sampling distribution frequency distribution: summary depiction of how many times a particular value of a variable occurs. Sampling distribution: hypothetical distribution of all possible sample outcomes for a statistic. Probability, how likely someone scored that value of outcome in topic of interest. Complete distribution of possible outcomes when there are only two possible outcomes. E. g. , yes/no, flipping a coin normal distribution is a curve defined by a mathematical formula. For continuous variables, infinite number of possible outcomes (interval and ratio) Continuous for possible x (never actually touches actual x) Characteristics make it useful in application to research situations central limits theorem (clt) On average the sample mean is the same as the population mean.