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by: A Jones

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# Week 18, Biostats Heal 395

A Jones
C of C
GPA 3.5

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This note is for one week. ------------------------------- I have completed study guides for Exam 1 and 2!!... Entitled: ***Biostatistics Exam 1 Full ***Biostatistics Exam 2 Full I d...
COURSE
Biostatistics
PROF.
Hart
TYPE
Class Notes
PAGES
2
WORDS
KARMA
25 ?

## Popular in Public Health

This 2 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& 9/19/2016 Exam 1 | Evernote Web 10! = (10*9*8*7*6*5*4*3*2*1) Complement: any other event except one Pr(A') = 1 – Pr(A) Probability Math Rules  Intersection Possibilities 1. Conditionally Dependent Intersection: 2. Independent Intersection: Pr(A ∩ B) = Pr(A) * Pr(B) Union Possibilities 1. Independent Union: Pr(A ∪ B) = Pr(A) + Pr(B) – Pr(A ∩ B) 2. Mutually Exclusive Union: Pr(A ∪ B) = Pr(A) + Pr(B) https://www.evernote.com/Home.action#n=0d2f318c­c67d­4931­b221­67fe1a313fd8&b=3e793d12­ce29­48b5­aeeb­12b02ed6bc73&se7/7&sh=1&sds=5&

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