9/29
Probability for a random variable X can be thought of as distributed along the number
line:
If X is discrete, there are bits of probability scattered along the line, like pebbles
of varying size.
fish < read.table("fish.txt",header=T)
fish < read.table("http:/mathstat.slu.edu/~gong/Teaching/fish.txt",header=T)
head(fish)
attach(fish) #variance of the 3rd column
var(LENGTH)
sd(WEIGHT)
cor(LEN
2/16/17
Informative Speech Outline
Name: Steffen Batista
Topic: Homelessness in New York City
General Purpose: To Inform
Thesis: The number of homeless people living in NYC is staggering and there sho
Parks College of Engineering, Aviation and Technology
Saint Louis University
Module 5 Stage Check
Study Guide
Basic Attitude Instrument
Describe the various instrument scan patterns
Explain proper i
10/22
Bernoulli trials:
a series of "experiments" such that
they each have only two outcomes, typically called "success" and "failure"
(although could be called anything else)
they are identical, al
8/23
Rosencrantz and Guildenstern are dead (i.e., what do you make of 60 Heads in a row?)
Probability is the quantitative management of uncertainty.
8/25
If E is a possible outcome of a trial capable
Do 2.Rev problems and turn in appropriate ones Monday (9/27).
queen and three princes problem (2.135):
If the Queen has the gene, then the chances of princes getting it are
independent of one another.
10/4
expectation (mean) of random variables
discrete random variables:
Let X be a discrete random variable with values cfw_x_1, ., x_n and
probability mass function p_X.
We define the mean of X, writt
9/20
You go into a clinic and get tested for Condition X (a Bad Thing). You're told the test
results come back Positive for X; how worried should you be?
Need some information:
False Positive Rate = t
10/1
why marginal density functions are as indicated:
we start with joint density function f_cfw_X,Y for two continuous random variables X
and Y
we know the density function f_Y should be the derivati
10/20
Independence simplifies expressions; covariance measures how those expressions
aren't simplified for nonindependence.
If X, Y are independent:
E(XY) = E(X)E(Y)
proof: E(XY) = Integral Integral
9/13
Process for calculating probability of an event A (such as picking 2 white and 2 black
marbles when choosing 4 out of a bag of 8 white and 4 black):
describe U carefully (specify, for instance, t
10/13
few key points on exam:
It helps to know what sort of number an answer should be, before doing any
calculations:
For example, "at least hundreds but not millions".
For example, "between 0 and 1,
SAINT LOUIS UNIVERSITY
I FLIGHT
3
L

Part 141 TCO

PARKS COLLEGE OF ENGINEERING, AVIATION, AND TECHNOLOGY
REVISION NUMBER: Revision 3
23 February 2015
FLIGHT 3
Commercial BAI & Navigation I Instrume