52
Lecture 5:
CHAPTER 2: PROBABILITY
Random Variables (Section 2.4, page 88)
Definition:
A numerical characteristic whose value depends on the outcome of a
chance experiment is called a random variabl
149
Lecture 15:
CHAPTER 6: HYPOTHESIS TESTING
In Section 6.1, I described a method for testing a hypothesis about a
population mean, based on a large sample. Recall the null and
alternative hypothesis
163
Lecture 17
CHAPTER 6: HYPOTHESIS TESTING
Small-Sample Tests for the Difference Between
Two Means Contd (Section 6.7, page 430)
When the Populations Have Equal Variances
Suppose that a srs of size
201
Lecture 20:
SAS!
Lets first start off with some basic data input with SAS. Open your
SAS Stats program.
SAS CODE: (columns)
data one;
input id x;
cards;
1
2
3
4
5
6
7
8
9
10
run;
23
43
66
31
28
73
215
Lecture 21:
MORE SAS
Example: A sample of 10 diesel trucks were run both hot and cold to
estimate the difference in fuel economy. The results, in mi/gal, are
presented in the following table. (Fro
1. Economics is the social science that studies the choices that individuals, businesses,
governments, and the entire societies make as they cope with scarcity.
2.
3. Goods and services are the object
Module 5
I hope you are starting to notice the trend in how things are going. This module is
divided into 2 sections: A. Monopoly (Chapter 13) and B. Monopolistic Competition
(Chapter 14). Once again,
Microeconomics Module 3 Answers
1. A rent ceiling is a government regulation that makes it illegal to charge a rent higher than a
specified level.
Without a rent ceiling, the rent in the housing marke
Module 6
2. The market for batteries has a small number of independent firms.
Each firm's actions influence the profits of the other firms.
The market for batteries is an oligopoly.
It has a small num
Module 5 Assignment
1. A single-price monopoly is a firm that must sell each unit of its output for the same price to all its
customers.
A price-discriminating monopoly sells different units of a good
Award: 0 out of 5.00 points
MC Qu. 07-05
There are six employees at a coffee house. Two employees are to be selected at random to attend a Fair
Trade coffee convention. What is the total number of sam
238
Lecture 23:
CHAPTER 10: STATISTICAL QUALITY
CONTROL
Control Charts for Variables Contd (Section
10.2, page 757)
Recall: Control charts used for continuous variables are called
variables control ch
227
Lecture 22:
CHAPTER 10: STATISTICAL QUALITY
CONTROL
Control Charts for Variables (Section 10.2, page
757)
Recall: Control charts used for continuous variables are called
variables control charts.
189
Lecture 19:
CHAPTER 7: CORRELATION AND SIMPLE
LINEAR REGRESSION
The Least-Squares Line (Section 7.2, page 517)
Last class, we took a look at regression analysis which uses
information about x to d
12
Lecture 2:
CHAPTER 1: SAMPLING AND DESCRIPTIVE
STATISTICS
Graphical Summaries (Section 1.3, page 25)
Stem-and-Leaf Plots
Most of us already know what a histogram looks like:
A histogram tells us ho
26
Lecture 3:
CHAPTER 2: PROBABILITY
A chance experiment, also called a random experiment, is
simply an activity or situation whose outcomes, to some
degree, depend on chance. To decide whether a give
38
Lecture 4:
CHAPTER 2: PROBABILITY
Counting Methods (Section 2.2, page 62)
Permutations:
In how many ways can you order the letters A, B, C?
Five lifeguards are available for duty one Saturday
after
62
Lecture 6:
CHAPTER 2: PROBABILITY
Random Variables Contd (Section 2.4, page 88)
Recall: Last class we started setting up discrete random
variables and we also worked with continuous random variable
72
Lecture 7:
CHAPTER 4: COMMONLY USED
DISTRIBUTIONS
The Binomial Distribution Contd (Section 4.2,
page 202)
THE BINOMIAL DISTRIBUTION (discrete)
Recall: p(x) = proportion of batches with x Ss (succes
79
Lecture 8:
CHAPTER 4: COMMONLY USED
DISTRIBUTIONS
The Normal Distribution (Section 4.5, page 240)
Definition
A continuous variable x is said to have a normal distribution with
parameters and , wher
86
Lecture 9:
CHAPTER 4: COMMONLY USED
DISTRIBUTIONS
The Normal Distribution- Contd (Section 4.5, page
240)
Recall: Last class we focused on applications with the use of the
Normal Distribution. Now l
95
Lecture 10:
CHAPTER 4: COMMONLY USED
DISTRIBUTIONS
The Exponential Distribution Contd (Section
4.7, page 261)
Recall: Last class we introduced the Exponential distribution:
Definition
A variable X
105
Lecture 11:
CHAPTER 4: COMMONLY USED
DISTRIBUTIONS
The Central Limit Theorem (Section 4.11, page
289)
The Central Limit Theorem is by far the most important result in
statistics. Many commonly use
115
Lecture 12:
CHAPTER 5: CONFIDENCE INTERVALS
Large-Sample Confidence Intervals for a
Population Mean Contd (Section 5.1, page 323)
Recall: Last class, we took a look at the most common confidence
i
127
Lecture 13:
CHAPTER 5: CONFIDENCE INTERVALS
Small-Sample Confidence Intervals for a
Population Mean Contd (Section 5.3, page 321)
Recall: Last class we introduced the students t-distribution which
139
Lecture 14:
CHAPTER 6: HYPOTHESIS TESTING
Example: Consider the population of weights (in kg) of all newborn
babies in Canada for a particular year. In this case, the Population
Mean is the averag