PSYC1040 Lecture 10: Lecture 10 - Distribution of Means, Z Tests, Power and Errors
Document Summary
Lecture 10 distribution of means, z tests, power and errors. Remember: entire group of individuals or instances about who we hope to learn it the population, we draw a sample which is a subset of the population and lets us make inferences. If sample is truly random we can use frequency distribution to tell us probability of any sample characteristic: Individual x values: means, standard deviations, pearson r, given a certain mean/sd we can draw a conclusion about a population. Distribution of means: randomly choose 5 people, get their mean, repeat hundreds of times and mean should be close to population mean. Hypothesis testing of means when standard deviation is known: one-sample z-test, kirsty and 2 other teachers teaching 100 grade 5 students. Type 1 errors: probability of rejecting null when research is true, known as alpha, same as significance level, when we say p
