Samantha Crist STATS EXAM CHAPTER 6-9
Classical approach: based on equally likely events.
Relative frequency: assigning probabilities based on experimentation or historical data.
Subjective approach:
Samantha Crist
Stat Chapters 10-13 Study Sheet
Chapter 10:
Qualities desirable in estimators include unbiasedness, consistency, and relative
efficiency.
The width of the confidence interval estimate i
STAT 0200
Spring 2012
HOMEWORK 6
26 points
Due Tuesday (3/20) at the beginning of lecture.
From Chapter 17:
17.8 a, b, c (1 pt, 2pts, 2 pts)
17.26 (3 pts)
17.30 b, c (3 pts, 3 pts)
From Chapter 18:
18
Kara Magliocca
Professor Beery
Statistics 0200
17 January 2012
8.30:
a.) In order to conduct a simple random sample for the pharmacists of Ontario, I
would put the names of all 7,500 pharmacists in al
Exam 2 Practice Questions
Beery
Stat 200
Spring 2012
CH 11
1. The incomes in a certain large population of college teachers have a normal distribution with
mean $75,000 and standard deviation $10,000.
CH 11
1. The incomes in a certain large population of college teachers have a normal distribution with
mean $75,000 and standard deviation $10,000. Four teachers are selected at random from this
popul
IE 111 Spring Semester 2009 Homework #1 Due Wednesday 01/21/09
Question 1. Consider the Venn diagram at right with events A, B, C, and D as shown when you answer questions a) through e). a) Give a set
IE 111 Spring Semester 2009 Note Set #1
Introduction
This course will cover the fundamentals of probability theory. It is essentially a mathematics course (indeed the Accreditation Board of Engineerin
Example: Acceptance Sampling A common application of the hypergeometric distribution is in "acceptance sampling".
Acceptance sampling occurs when a supplier delivers a Lot (e.g. a truckload full, a bo
IE 111 Spring Semester 2009 Homework #2 Due Wednesday, 01.28.09 Question 1 An order for a personal digital assistant can specify any one of five memory sizes, any one of three types of displays, any o
Axioms of Probability
Axiom 1
0
Axiom 2
P(S) = 1 Axiom 3
Axiom 3 in words. Given that 2 events A and B are M.E., the probability of at least 1 of these events is the sum of their probabilities. Prcfw_
The Mean and Variance of a Random Variable
Two important quantities that describe the behavior of a random variable and PMF. The mean is also equivalently known as the Expected Value. We can denote th
IE 111 Fall 2008 Homework #3 Officially Due on Friday 9/19 Material on this homework will be fair game for the exam on Wed 9/17
1. Learn the concept of conditional probability by Venn diagram a) If P(
Classical Interpretation
Consider experiment with finite S = cfw_s1,s2,sN All outcomes are equally likely to occur
1/5/10
Axiom 3
Let A be an event defined on S, and let a1 , a2, . , an be the outcome
The Poisson Process
The most useful application of the Poisson distribution is in the modeling of purely random processes, also known as Poisson processes. A Poisson Process models an arrival process.
IE 111 Spring Semester 2009 Homework #4 Solutions Question 1. Suppose we have a biased coin such that P(head) P(tail). Suppose I flip the coin three times. Let the random variable X be the number of h
If we flip 10 coins, what is the probability that we get exactly 5 heads? Answer: Suppose we write outcomes as we have in the past. For example HHTTHHTHTT is an example of an outcome with exactly 5 h
The Poisson Distribution
The Poisson Distribution is another extremely important distribution in Probability and Statistics. It is especially important for Industrial Engineers for reasons that will b
IE 111 Spring 2009 Homework #5 Question 1 Let X be a Binomial random variable with n=100, p=.7 (a) Which one of the following Excel formulas will calculate Pr(X=100) ? =BINOMDIST(0,100,.7,TRUE) =BINOM
Today
Finish counting and multichoose Have read through Chapter 2-4 Conditional probabilities Homework #2 due Read Chapter 2-5 Multiplication and Total Probability rules
Wed.
1/5/10
Conditional Pro
Continuous Random Variables
Week of March 16 Click to edit Master subtitle style
1/5/10
Intro
Domain defined on set of real numbers
Unlike discrete r.v.s that are finite or countably infinite Domain w
IE 111 Spring 2009 Homework #6 Due Wednesday, March 18 Question 1 Suppose you go shopping at a convenience store, pick your items, and then join the line for the cash register. There are 6 people in t
Today
Independence Multiplication and Total Probability rules Finish Independence Go over HW Test on Friday, not Wed.
Friday
Next week
1/5/10
Conditional Probability
The following is very important
Continuous Uniform and Normal Distributions
Week of March 16 Click to edit Master subtitle style
1/5/10
Continuous Uniform Dist.
The uniform distribution is probably the simplest continuous distributi
IE 111 Spring 2009 Homework #7 Solutions Question 1. Consider the following probability density function (PDF): fX(x) = kx2 fX(x) = 0 for 0 x 1 otherwise
a) Find k so that we have a valid probability
Go over HW #2 Test Next Friday, February 6 Homework 3 due Wednesday February 4 Will go over HW #3 that Wednesday
1/5/10
Example
Workers in a nuclear power plant are classified into three groups base
Normal Distributions and Approximation to Binomial
Week of March 16 Click to edit Master subtitle style
1/5/10
Example
Suppose X~N(5,16) a) Find k so that P(X < k) = 0.95 Here we are given a probabili
EX IE 111: Tentative Course Schedule, Spring 2009 Note that we will try to stick to this, but things may slip along the way. Thus this must be considered only as a rough guide. Date Topic 1/12 General
Functional Widgets Box 1 Box 2 Box 3 Box 4 1900 300 900 900
Defective Widgets 100 200 100 100
Question 7 We have 4 boxes with functional and defective widgets. We select a box i at random, with P (Bi)
Question 2 Fifteen flips of a biased coin are conducted in which the probability of a head is 0.6. Please calculate/provide exact probabilities for each answer. Let X1 = the number of heads in the fir