7. Expectation, Averages, Variability
7.1 Summarizing Data on Random Variables
When we return midterm tests, someone almost always asks what the average was. While we could list out all marks to give
5. Review of Useful Series and Sums
The preceding chapters have introduced ways to calculate the probabilities of random events, based on various assumptions. You may have noticed that many of the pro
3. Probability Counting Techniques
Some probability problems can be attacked by specifying a sample space S = cfw_a1 , a2 , . . . , an in 1 which each simple event has probability n (i.e. is equally
STAT 230 Midterm Concepts/Formulas
Note: Not everything in your textbook/covered on your midterm is guaranteed to be listed
here. This is just a guide for some key concepts we considered to be importa
cover page (5:30 Wednesday Oct 28) V1
1
1. Assume car accidents at a particular intersection occur individually and independently of each other
at a uniform rate through the weeks of a term. Suppose t
cover page (5:30 Friday Oct 30) V4
1
1. Assume posts to the Piazza discussion board on the day before a test occur individually and independently at a constant rate, with an average of 4 posts per min
cover page (6:30 Friday Oct 30) V5
1
1. Suppose visits to a particular website occur individually and independently of each other at a constant
rate, with an average of 10 visits per second. Each visi
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1. Errors in the old STAT 230 course notes (before we xed them) were introduced individually and
independently of each other at a constant rate, with an average of
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1
1. A student has an upcoming 5-question multiple-choice quiz they do not have time to study for. They
know that if they have agood day, they will get each quest
Is
Monetarism
Dead?
BY OTMAR ISSING
Has the resurgence
of Keynesianism
already peaked?
H
asnt the theory of monetarism been consigned to
the scrap heap along with other discarded theories? Arent monet
Chapitre 1
Objectifs
La famille.
La vie de
famille.
Gots
personnels.
Origines et
renseignements
personnels.
University of Waterloo and others
1.1 Expressing relationships: Possessive adjectives
Posse
12
2. MATHEMATICAL PROBABILITY MODELS
Although we often consider simple problems involving things such as coins, dice and simple games,
probability is used to deal with a huge variety of practical pro
4. Probability Rules and Conditional Probability
4.1 General Methods
In the mathematical denition of probability, an arbitrary event A is merely some subset of the sample space S . The following rules
8. Discrete Multivariate Distributions
8.1 Basic Terminology and Techniques
Many problems involve more than a single random variable. When there are multiple random variables associated with an experi
9. Continuous Probability Distributions
9.1 General Terminology and Notation
Continuous random variables have a range (set of possible values) an interval (or a collection of intervals) on the real nu
STAT 230 - Probability
Fall 2016
Course Syllabus
Course Website:
learn.uwaterloo.ca You are expected to regularly read your UWaterloo email and visit the course website on Learn
for announcements.
Ins
STAT 230 Midterm Test 2
Fall 2009
Time: 70 minutes
Name:
I.D. #
Instructor/Section: M. LaCroix (1, 2, 5)
; C. Springer (3)
; S. Khan (4)
(12) 1. Suppose people arrive at an automated banking machine (
Statistics 230, Spring 2010
Midterm Test 1
June 3, 2010
Duration: 75 Minutes
Family Name:
Given Name:
ID #:
Instructions:
1. You may use a pink tie calculator for this exam, but a calculator is not re
Question 1: Score 0/1
Suppose a box contains 6 Red, 2 Green and 4 White balls.
Two balls are selected at random without replacement. X is
the number of red and Y is the number of green balls in the
sa
Question 1: Score 0/1
Suppose X and Y are independent and uniform on the set
Find
(to 3 decimals)
Incorrect
Your
Answer:
Correct
4/(7^2)0.01
Answer:
Comment
:
The joint probability function is
= 0.082