LFS 252 Lecture Notes - Bar Chart, Stratified Sampling, Central Limit Theorem
Document Summary
Make sure the collected samples represent the whole population. Randomness: no predictable pattern occurs e. g. dice, heads or tails. Theoretical probability: long run relative frequencies based on theory e. g. flipped coin: eventually the probability will be 50% and 50% Probability will be in the between of 0 and 1. Complement: that an event doesn"t happened represent other events. Equally likely outcomes: each event is equally to occur e. g. each number on dice will have an equal chance to occur. Probability rules: and: the probability of both events occur, or: the probability of at least one of the events must occur, exclusive event: the probability of both events occur is 0. Conditional probability: event a and b are associated. Independent events: event a and b are independent-> b doesn"t influence a. Laws of large numbers: large numbers of trials. Sample space: a list that contains all possible( and equal likely) outcomes is called the sample space.
