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## Q SCI 381 week #3

by: Claira Notetaker

12

0

2

# Q SCI 381 week #3 NURS 201

Claira Notetaker
UW
GPA 3.5

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week 3 of notes
COURSE
LIFESPAN GROWTH (I&S)
PROF.
TYPE
Class Notes
PAGES
2
WORDS
KARMA
25 ?

## Popular in Art

This 2 page Class Notes was uploaded by Claira Notetaker on Friday January 22, 2016. The Class Notes belongs to NURS 201 at University of Washington taught by in Winter 2016. Since its upload, it has received 12 views. For similar materials see LIFESPAN GROWTH (I&S) in Art at University of Washington.

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Date Created: 01/22/16
Sample space • The denominator in the probability; the totally possible outcomes • Use the fundamental counting principle o If event A occurs X times and event B can occur Y times then the number of outcomes in which A and B can occur in sequence is XY § Keep into account the total number of possible outcomes o EX: Baseball line up § Factorial expressions!! ú Represented as a number with an ! • EX: 9! o = 9 x 8 x 7 x 6 x…. o EX: Pin number § You can pick any number from 0-9 four times § So each number you pick you have 10 options x the 4 number ú 10^4 = 10,000 options o EX: Pac man ghost combo § 2 ghosts on the game and 2 ghost not § Distinguishable sets ú (n!) / ((n-r)!r!) • n = total number of possible choices • r = the number needed to make the combination Exam review • know formulas o need to know when to use what formula • bring calculator Chapter 4: discrete Probability Distribution • sections 4.1-4.3 Random variable • (X) is a value observed from an outcome of an experiment that can be express numerically • EX: o Flipping a coin § Isn’t actually numeric but we can assign tails=1 and heads=2 and then we can observe the outcome • Discrete Variables o There is a finite number of possible outcomes; expressed as an integer § The average/mean does not hold the correct weight in the typical sense o mean = (series) xP(x) § x = outcome of each test § P(x) = probability o Standard deviation= (variance) ^ ½ § Variance = (series) (x-u)^2 P(x)

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