Week 16, Biostats
Week 16, Biostats Heal 395
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This 1 page Class Notes was uploaded by A Jones on Monday September 19, 2016. The Class Notes belongs to Heal 395 at College of Charleston taught by Hart in Fall 2016. Since its upload, it has received 4 views. For similar materials see Biostatistics in Public Health at College of Charleston.
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Date Created: 09/19/16
9/19/2016 Exam 1 | Evernote Web Prior beliefs can be subjective, objective , or uninformative Frequentist: probability of an event = proportion of times A occurs out of a large number of trials 3 types of EVENTS Mutually Exclusive two or more events cannot happen at the same time Conditionally Dependent one event depends on another Independent Events are completely independent 3 types of OCCURRENCES Union ( Pr(A ∪ B)) A OR B can occur Example: A patient can get better OR worst, Probability that someone has high blood pressure OR obesity Intersection (Pr(A ∩ B)) both A AND B occur Example: Probability that a patient contracts Pneumonia AND Clostridium Complement (Pr(A'))any other events EXCEPT one Example: probability a woman has fertility issues due to lead exposure Terms to know sample space: set of all possible outcomes of that experiment probability: chance or likelihood that an event(s) will occur event: outcome, result of an experiment Probability Calculations: Combinations & Permutations of Events Permutation: arrangement for individual event, order matters n: total number of individual events r= how many we are sampling (how seats are arranged in row: 3) Combination: grouped events and order doesn't matte https://www.evernote.com/Home.action#n=0d2f318cc67d4931b22167fe1a313fd8&b=3e793d12ce2948b5aeeb16/72ed6bc73&ses=4&sh=1&sds=5&
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