82:161 Lecture Notes - Lecture 5: Fair Coin, Statistical Inference, Null Hypothesis

• School: Brandon University
• Department: Psychology
• Course: 82:161
• Professor: Professor G

Document Summary

Human behavior has a lot of variability: a lot of noise" caused by inconsistent behaviour, inexact measurement etc. Not focus of study challenge of inferential stats. Sampling from a population: cost practical time constraint reasons. Census is only occasion we have an entire population. Sample and then draw conclusions about population from sample results. Make inference about population after using a small sample of the population. A hypothetical distribution based on a hypothetical set of sample means. Distribution of raw scores is based on real set of data. Unlikely to obtain a score away from the sample mean but inferential stats gives a probability of one of these numbers to occur. 2/3 of all scores fall within one sd of the mean o 68% Can take sample of coins behavior by tossing 100 times o null hypothesis of no effect. H 50 times and t 50 times o experimental hypothesis. Coin will be h more or less than 50 times.