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

56 views5 pages

Document Summary

January 24, 2017 lecture 3: distributions & statistical significance. Sampling distribution distribution of all possible sample outcomes for a statistic: one sample produces one statistics, mean is most common to summarize data. Standard deviation measures the variability/spread of a statistic: how its typically spread out around the mean, need a large number of samples to produce a distribution for the statistic. Standard error standard deviation of the sampling distribution: estimates the variability between samples; sd = measure the variability within a single sample. Frequency distribution summary depiction of how many times a particular value of a variable occurs. Sampling distribution a hypothetical distribution of all possible sample outcomes for a statistic: it is the bridge between the sample & the population. The binominal distribution 2 possible outcomes, ex. , flipping a coin, yes or no. Characteristics make it useful in application to research situations: many statistical have a sampling distribution that is approximately normal.

Get access

Grade+
$40 USD/m
Billed monthly
Grade+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
10 Verified Answers
Class+
$30 USD/m
Billed monthly
Class+
Homework Help
Study Guides
Textbook Solutions
Class Notes
Textbook Notes
Booster Class
7 Verified Answers

Related Documents

Related Questions