STA 216 Fall 10
Handout 11
O H othesis Tests General Information and H thesis Test for One Po nlation Mean: Review
Steps for a hypothesis test
Note that before starting the hypothesis test it must be determined which test is appropriate.
1. State h
STA 216, Fall 10
Handout 1
[N .
Review of some statistical conc
1. What is the population in a statistical study? What is the sample?
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2. In statistics, wha
STA 216, Fall 10
Handout 18
Q Com ' -MeansforlhreeorMorePo . .
One-way ANOVA (Analysis of Variance) can be used to compare the m - ans 0 e or more populatiOns when
independent random samples are selected from the populations (see handout 17). When the a
STA 21 6, Fall 1 0
Handout 23
0 Multiple Linear Mession [mg] Example with quantitative explanatogz variables
Example A certain company has data collected on a
The variables in the data set
random sample of sales representatives for the company.
are a
STA 216, Fall 10
I Handout 19
(3 Simple Linear Mann (SLR) .
Simple linear regression (SLR) can be used to investigate the linear relationship between two quantitative
variables. The variables can be plotted on a scatterplot; the explanatory (independent)
STA 216, Fall 10
Handout 5
0 Variable Labels: The LABEL statement
The variable names in SAS can be at most 32 characters long. It is generally desirable to keep variable names
short since any time the variable is used in the program, the entire name must
STA 216, Fall 10
Handout 6
0 Value Labels: PROC FORMAT
PROC FORMAT together with FORMAT statements can be used to assign labels to variable values. For
example, if we have a gender variable typed in as 0 for male and 1 for female, we may want the output
SAS 9.4 Installation Tips For Windows
Important Note: See Professor Kapitula, [email protected], or contact IT if you have issues.
The Statistics department office cannot help with SAS installation.
If you have a MAC I recommend SAS University Edition htt