Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that all cards in the hand have different
denominations, given that al
Quiz 4
We will have quiz 4 on Friday.
Topics:
Random Variables, Expectation, Variance (sections 4.1 4.5).
Bernoulli and Binomial random variables
A random variable X is said to be a Bernoulli random variable if
Pcfw_X = 1 = p and Pcfw_X = 0 = 1 p for some
September 16, 2016
Inclusion-exclusion identity
EXAMPLE 5m. The matching problem
Suppose that each of N men at a party throws his hat into the
center of the room. The hats are first mixed up, and then each man
randomly selects a hat. What is the probabili
Physics 143a (Spring 2010) Posted: 17 April 2010
Problem Set 10
Professor Gerald Gabrielse Due: 23 April 2010 (5 pm)
1. Anharmonic oscillator: An anharmonic oscillator has a perturbation Hamiltonian Hamiltonian, H = ax4 , in addition to a harmonic oscilla
The Poisson random variables
A random variable X that takes on one of the values 0, 1, 2, . . . is
said to be a Poisson random variable with parameter if, for some
> 0,
p(i) = Pcfw_X = i = e
i
i!
for i = 0, 1, 2, . . .
This equation defines a probabilit
First Midterm
When: Tuesday, 09/27, 11 am - 12:20 pm.
Where: Gzng 123.
Topics: Section 1.1 - 1.5, 2.1 - 2.5, 3.1 - 3.2.
You will not be allowed to use textbooks, notes, calculators or any
other electronic devices.
Bayess rule
The odds of an event A are de
Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that all cards in the hand have different
denominations, given that al
Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that the hand contains a queen of diamonds, given that it contains at
Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that all selected cards are diamonds,
given they are of different deno
Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that all selected cards are diamonds,
given they are of different deno
Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that the hand contains a jack of hearts,
given that it contains a jack
Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that the hand contains a queen of diamonds, given that it contains at
Quiz 2. 09/27
Please provide short explanations together with your answers
A 3-card hand is dealt from a well-shuffled deck of 52 playing cards.
(1) What is the conditional probability that the hand contains a jack of hearts,
given that it contains a jack
Physics 114
Syllabus
Fall 2015
Text:
Giancoli, PHYSICS - Principles with Applications, 7th ed.
Pearson Mastering Physics is the Homework and Quiz site. This is integrated into Blackboard at:
https:/courseware.ku.edu/webapps/bbgs-mylab_mastering_b2-bb_bb60
Independent Events
EXAMPLE 4m (8th ed) and 4n (9th ed)
(Probabilistic method in combinatorics):
First, some background:
Theorem on friends and strangers: Suppose a party has six people.
Consider any two of them. They might be meeting for the first time in
Independent Events
Two events E and F are said to be independent, if
P(EF ) = P(E )P(F ) ,
which is the same as saying
P(E | F ) = P(E ) .
In other words, knowing that F has occurred doesnt change the
chances of E s occurrence. Two events E and F that are
Midterm 1
I
I
I
Average - 72.67, Median - 77.
You can pick your midterm from my office after this class,
12:30 pm - 2 pm. The grading scheme is explained in the
corresponding course announcement. Midterm solutions are
posted on Latte.
Error correction ass
Expected Value of Sums of Random Variables
Last time: Discrete random variables (chapter 4).
I
Probability mass function and Cumulative distribution
function.
I
Expectation.
What is our plan for the next couple of lectures:
I
More about expectation and va