SOCIOL 3FF3 Lecture Notes - Lecture 4: Central Limit Theorem, Sample Space, Normal Distribution
8 Mar 2019
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Document Summary
Talking about: components of probability theory multiplication rule (and) Independent vs dependent events: addition rule (or) Probability: what is the likelihood that one outcome will occur relative to all possible outcomes, probability and theory are tools that we can use to determine the answer to this question, moving from descriptive to inferential. Inferential stats: want to say something about how world works, can"t possibly observe everything, make generalizations, base deductions on limited observations. If one event does not affect the probability of another events, the events are independent: multiplication rule of probabilities, observing two independent outcomes in succession is equal to the product of. Probability of successive related events the probability of the 2 ind outcomes. If one event affects or is related to the probability of another event then the events are dependent: solving problems involving related events requires an intermediate calculation. Probability of exclusive unrelated events (or: alternate events this or this happens instead.
