PSY201H1 Lecture Notes - Lecture 6: Standard Deviation, Conjunction Fallacy, Starbucks
Document Summary
Lecture 6 - random sampling & probability (binomial distribution) Avoid errors and bias in everyday life. Never sure we"re right: allows us to see if we"re probably right. Descriptive statistics: tools we use to describe our data in our study, e. g. , frequencies, z-scores, mean, standard deviation, correlation, regression, chapters 2-7. Inferential statistics: tools we use to help us make judgments about the population based on what we found in our study, e. g. , t-test, chapters 8-14+ To test hypotheses: use sample to infer whether an effect exists in the population, people are prejudiced against atheists because they don"t trust them. To estimate population parameters: use sample to infer magnitude of characteristics in the population, ex: what percent of people in canada identify as atheists. Random sample: everyone in the population has an equal chance of being in the study. Random assignment: everyone in the experiment has an equal chance of being in each of the experimental conditions.
