Grade:
MIDTERM 1. MATH 361 FALL 2013
SHOW YOUR WORK!. SHOW THE REASONING FOR YOUR SOLUTIONS AND IDENTIFY ALL
VARIABLES TO RECEIVE THE FULL CREDIT! PLACE YOUR ANSWERS IN THE SPACE
PROVIDED. SIMPLIFY CO
FORMULA SHEET. MATH 361 FALL 2014
Standard Normal Cumulative Properties:
20%
30%
40% 50% 60% 70% 80% 90%
P (Z z) 10%
z
1.28 0.84 0.52 0.25 0
0.25 0.52 0.84 1.28
Distributions:
(1) Poisson
pX (x) = e
k
Question (8): Assume that the probability to pass in a course in Arabic is 60% and the
probability to pass in a course in English is 45%, also the probability to pass in both courses is
20%. If a stud
4 INDEPENDENCE (SECTION 2.5)
Name(s):
For this worksheet, it may be helpful to recall, Geometric series: for 0 < a" < 1 we have
1. For the following blood type percentages, what is the probability
Math 361: Section 2.5
2.5.14 In a roll of a pair of fair dice (one red and one green), let A be the event the red die
shows a 3, 4, or 5; let B be the event the green die shows a 1 or a 2; and let C b
Math 361: Homework Section 2.4
2.4.6 Two events, A and B, are defined on a sample space S such that P(A|B) = 0.6, P(At least
one of the events occurs) = 0.8, and P(Exactly one of the events occurs) =0
2 SAMPLE SPACES 85 PROBABILITY (SECTlONS 2.22.3)
Name(s):
1. For each of the following experiments below give the set that describes the event given.
(a) Experiment: deal 5 cards from a. 52 card dec
3 CONDITIONAL PROBABILITY (SECTION 2.4)
Name(s):
1. Consider families with 2 children and assume that having a B or G is equally likely.
Q0: What is the sample space?
Q1: What is the probability of
Name
A
Math 362
2016: Test 1
Obey the Honor Code!
class time: 8:30am or 10am, circle one
For problems 5-10 and the Bonus, show your work
and explain your reasoning to receive full credit! Place your a
Mathematics 362
Probability and Statistics II
Spring 2016
TT 8:30-9:45 and 10:00-11:15
Chem 240 and MSC W301, resp.
Instructor:
Andrzej Rucinski
Office:
MSC, Room N 430
Phone:
404-727-5637
E-mail:
and
Question 1 :
Its well known that I like red jelly beans. Less well known is the fact that I
dont like purple ones. In a packet of 20 jelly beans, 3 are red and 4 are
purple. Use the multivariate hyper
P
STM2PM
PRACTICE CLASS 10
Joint Distributions
When two random variables are defined on the same sample space, their probability
properties can be described by
a joint probability mass function pXY (
SPRING 18
EMORY COLLEGE, ANT101
ANTHROPOLOGY 101
Introduction to Anthropology
MWF 10.00 am 10.50 am
Anthropology 303
Professor: Dr. Liv Nilsson Stutz
Office: Anthro 218B
Email: [email protected]
Tel: 4
Name: Jesse Daniels
Experiment Results
Predict Question:
Predict Question 1: Because calcium-channel blockers are negative chronotropic and negative inotropic, what effect do you
think increasing the
Name: Jesse Daniels
Experiment Results
Predict Question:
Predict Question 1: Pilocarpine is a cholinergic drug, an acetylcholine agonist. Predict the effect that pilocarpine will have
on heart rate.
Y
EMORY UNIVERSITY
NELL HODGSON WOODRUFF SCHOOL OF NURSING
COURSE NUMBER, TITLE:
NRSG 201, Anatomy and Physiology I
PRE-REQUISITES:
None
CO-REQUISITES:
You must be enrolled in both the Lecture and Lab p
@0
@0
@[email protected]
@ G
@[email protected]
@
SIDE i
- Do not
use ink,
ballpoint,
or felt tip
pens
0 Make solid
marks that
fill the clrcle
completely
comm.
MAR
- Erase cleanly
any marks
you wish to
change
- Make no
stray
ma
Independence of two random variables
For two events (called A and B), we defined
independence (in Lecture 6) as follows:
P (A B) = P (A)P (B)
so that
P (A B)
= P (A)
P (A|B) =
P (B)
i.e. being given t
Multi-variate Continuous Distributions
Two (or more) random variables are jointly
continuous when they have a joint
cumulative distribution function which is
continuous in both variables:
x y
F (x, y
STM2PM and STM4PM
ASSIGNMENT 5, 2017
Place your assignment solutions in the appropriate box on the third level of the Mathematics
and Statistics Building (Physical Sciences 2) before 1 pm on Thursday
Probability & Statistics I
Syllabus for MATH 361
Instructor: Bree Ettinger
E-mail: [email protected]
Oce: MSC W404
Term: Fall 2014
Time: TuTh 11:30-12:45
Room: MSC W304
Oce Hours: M 4:00-5:00, Tu 2:30
SPECIAL DISTRIBUTIONS PRACTICE
December 4, 2014
(1) Suppose that the average number of texts you receive every hour is 4.
(a) Find the probability that in the next hour
(i) You receive not more than o
Grade:
MIDTERM 2. MATH 361 FALL 2013
SHOW YOUR WORK!. SHOW THE REASONING FOR YOUR SOLUTIONS AND IDENTIFY ALL
VARIABLES TO RECEIVE THE FULL CREDIT! PLACE YOUR ANSWERS IN THE SPACE
PROVIDED. SIMPLIFY CO
Math 361: Midterm 2 Review
1. Known Distributions:
X Binomial(n,p)
n
k
nk
(p) (1 p)
k
E(X) = np
pdf:
pX (k) =
mean:
k = 0, 1, 2, . . . , n
V ar(X) = np(1 p)
variance:
MX (t) = pet + (1 p)
mgf:
n
X Hyp
COMBINING RANDOM VARIABLES PRACTICE
November 5, 2014
(1) Suppose X and Y are random variables with the joint pdf
6xy 2 0 < x < 1 and 0 < y < 1
fXY (x, y) =
0
otherwise
(a) Find the marginal pdf fX (x)