HSS 2381 Lecture Notes - Lecture 3: Standard Deviation, Probability Distribution, Type I And Type Ii Errors

• School: University of Ottawa
• Department: Health Sciences
• Course: HSS 2381
• Professor: Victor Emerson

Document Summary

Likelihood of an event; short for probability of occurrence . Sum of probabilities of each event = 1. 0. # ways outcome can occur (# of alternatives)n. 24 = 16 (coin tossing has 2 alternatives) P(9h1t) = 10h9t, where h = t = 0. 5. Calculating how many ways 1 outcome can occur. To get next coefficient, multiply coefficient by first exponent, and divide by second exponent + 1. Calculate probability of outcome by dividing ways the outcome can occur, by total number of outcomes. Only selected values can occur in discrete distributions. Outcomes of 10 coin tosses; area under curve = 1 (add all probabilities) Ex; probability of getting at least 7 tails. Equals area under curve beyond the specified boundary. If an event has a probability of 0. 05 or less (5% or less) we say it did not occur by chance (ex; biased coin) Conclude this non-chance result was caused by experimental treatment.