Math 4547/6547 SAS Project 2 - Due April 15th, 2013
Name:
Instructions
Your project should have each of the following features:
1. Title Page
2. Input Code Section. Also include the data le used.
3. Output From SAS Section
4. Answers to questions Typed (I
Class Notes - Wednesday, Feb 6th
Chapter 3 - Probability
Section 3.1 - Events, Sample Spaces, and Probability
What is probability?
Answer: probability is a measure of the likelihood of a random phenomenon or chance behavior.
Before we dive into probabilit
Math 4547/6547 Test 1 Study Guide
To be prepared for the test make sure you have done the following:
1. Complete the MyStatLab Online Homework from Chapters 1-3
2. Have a calculator and know how to use it.
3. Review your own written class notes and the no
Class Notes - Wed, Mar 27th
In sections 7.2 and 7.3 we will learn how to construct condence
intervals for the population parameter . We will see how the
sample size n will play an important role in the method we will
use to create the condence interval. T
Class Notes - Wed, Mar 13th
Chapter 6 - Sampling Distributions
In this Chapter we will begin our transition into inferential statistics.
Recall that in inferential statistics we use sample statistics to estimate
or make inferences about population paramet
Class Notes - Wednesday, Mar 6th
Chapter 5 - Continuous Random Variables
In this chapter, we will consider continuous random variables that are
commonly encountered.
Recall that a continuous random variable is a random variable that can
assume any value w
Class Notes - Monday, Mar 11th
Section 5.4 - Descriptive Methods for Assessing Normality
In this section we learn how to determine if a set of data is approximately normal or not. To be clear, we will learn how to determine if a
set of data came from a no
Class Notes - Monday, Feb 18th
Section 3.6 - The Multiplicative Rule and Independent Events
In this section we will learn how to calculate the probability for an
intersection statement, i.e. A B . We will see how the independence
of events A and B will ae
Chapter 8: Tests of Hypothesis
Help Guide
Note that this guide is for sections 8.3-8.5.
Using the Critcal Region Method
Tests of Hypothesis For a Population Mean : Large Sample
Size
If n 30, where n is the sample size then use the following steps
to compl
Class Notes - Monday, Mar 25th
Section 6.3 - The Sampling Distribution of x and the Central
Limit Theorem.
Previously, we have discussed estimators. Weve talked about
how the sample mean x is, in general, a good estimator of the
population mean .
In this
Chapter 9: Tests of Hypothesis
Help Guide
Note that this guide is for sections 9.2.
Using the Critcal Region Method
Tests of Hypothesis For the Dierence Between Population
Means 1 2 : Large Sample Size
If n1 30 and n2 30, where n1 and n2 are the sample si
Chapter 9: Tests of Hypothesis
Help Guide
Note that this guide is for sections 9.3.
For Paired Data Sets
Using the Critcal Region Method
Tests of Hypothesis For the Dierence Between Population
Means d = 1 2 : Large Sample Size
If nd 30, where nd is the nu
Chapter 9: Tests of Hypothesis
Help Guide
Note that this guide is for sections 9.4.
In this section we consider conducting hypothesis tests for two
population proportions with large sample sizes n1 and n2. In
this course we will not consider two populatio
Chapter 9: Tests of Hypothesis
Help Guide
Note that this guide is for sections 9.2-9.3.
Using the Critcal Region Method
Tests of Hypothesis For the Dierence Between Population
Means 1 2 : Large Sample Size
If n1 30 and n2 30, where n1 and n2 are the sampl
Chapter 8: Tests of Hypothesis
Help Guide
Note that this guide is for sections 8.6.
Using the Critcal Region Method
Tests of Hypothesis For a Population Proportion p: Large
Sample Size
If np0 15 and nq0 15, where n is the sample size, p0 is the
value of p
Class Notes - Wednesday, Jan 30th
Section 2.2 - Continued
Histograms
A histogram is a graph consisting of bars of equal width drawn adjacent
to each other (without gaps). The horizontal scale represents classes of
quantitative data values and the vertical
Class Notes - Monday, March 4th
Section 4.3 Continued
Chebyshevs Rule and Empirical Rule for a Discrete
R.V.
Let x be a discrete r.v. with probability distribution p(x), mean
, and standard deviation . Then depending on the shape of
p(x), the following st
Class Notes - Wednesday, Apr 24th
Section 9.2 - Comparing Two Population Means: Independent
Sampling - Continued
We will continue with our discussion of comparing two
population means, specically the population parameter
1 2. Today we will consider how to
Class Notes - Monday, Apr 22nd
Chapter 9 - Inferences Based on Two Samples - Condence
Intervals and Tests of Hypotheses
Many experiments involve a comparison of two populations. In
this course, generally, we will compare the population means
of population
Class Notes - Monday, Apr 8th
Section 8.3 - Test of Hypothesis about a Population Mean:
Normal (z) Statistic
When testing a hypothesis about a population mean , the test
statistic we will use depends on whether the sample size n is
large (say, n 30) or sm
Class Notes - Monday, Apr 29th
Section 9.4 - Comparing Two Population Proportions:
Independent Sampling
In this section we will construct condence intervals and
conduct hypothesis tests for the population parameter p1 p2.
Note that this value consists of
Class Notes - Wednesday, Apr 3rd
Chapter 8 - Inferences Based on a Single Sample: Tests of
Hypothesis
In Chapter 8, we learn about tests of hypothesis. In this chapter,
we are interested in making an inference about how the value
of a population parameter
Class Notes - Monday, Apr 1st
In this section, we consider methods for making inferences about
population proportions when the sample is large.
Section 7.4 - Large-Sample Condence Interval for a Population Proportion
Sampling Distribution of p
1. The mean
Class Notes - Wednesday, Apr 3rd
Chapter 8 - Inferences Based on a Single Sample: Tests of
Hypothesis
In Chapter 8, we learn about tests of hypothesis. In this chapter,
we are interested in making an inference about how the value
of a parameter relates to
SAS Day Notes - Monday, Apr 1st
Part A of SAS Project 2 is intended to show you how to use
SAS somewhat like a calculator.
Using the SAS function PROBBNML to
Calculate Binomial Distribution Probabilities.
Example 1: Let x be a binomial random variable, wi
SAS Day Notes - April 15th
Part C of SAS Project 2 is intended to show you how to use SAS
to conduct Tests of Hypothesis for both Population Proportions
p and for Population Means .
For this part there are several ways to complete the tests of
hypothesis.
Chapter 9: Condence Interval
Formulas
Condence Interval Formulas For 1 2
If n1 30 and n2 30, where n1 and n2 are the sample sizes for
population 1 and 2 respectively.
2
2
1 2
+
n1 n2
2
2
x
1 and 2 Known: (1 x2 ) z/2
2
1
and
2
2
Unknown: (1 x2 ) z/2
x
s2