SAS Institute A00-240
SAS Statistical Business Analysis SAS9: Regression
and Model
Version: 4.0
SAS Institute A00-240 Exam
QUESTION NO: 1
Refer to the ROC curve:
As you move along the curve, what changes?
A. The priors in the population
B. The true negati
Inference for a Population
Mean
Lecture # 12
June 6, 2016
Motivation: t-Test
Scenario:
Counselors concerned high school
students work too many hours at part time jobs.
Random sample of 18 students found hours.
Population standard deviation unknown, so we
Numerical and Graphical
Descriptions of Data
Lecture #2
May 17, 2016
Different graphs and numerical techniques are
used with different types of data
Categorical Data
Graphs: Bar Graphs, Pie Charts
Numerical: Counts, Proportions, Percentages
Interval Data
16 Contingency Tables; Confounding
BIOINF 2118
Page 1 of 4
In contingency tables, Test for homogeneity = Test for independence
If your null hypothesis is
H0: Pr(in column j | in row i ) is the same for all rows
,
Then this is saying
H0:
where
.
This is ap
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SAS Institute A00-240
SAS Statistical Business Analysis SAS9: Regression
and Model
Q1
Refer to the ROC curve:
As you move along the curve, what changes?
A. The priors in the population
B. The true negative rate in the population
C. The proportion of event
Question 12
Question 3
Question 5
Question 6
Question 7
gains chart reference line
Question 8
The following SAS program is equal to:
Data new;
Set new;
Solicit=PE>0.5;
Run;
Proc means data=new mean;
Var solicit;
Where TG=1;
Run;
sub-dataset TG=1 event
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Question #
1
2
3
4
5
6
7
8
9
10
1. Given the SAS data set ONE:
ONE
DIVISION
SALES
A
1234
A
3654
B
5678
The following SAS program is submitted:
data _null_;
set one;
by division;
if first.division then do;
%let mfirst = sales;
end;
run;
What is the value of the macro variable MFIRST when
1.
One
Given the following SAS data set One:
Job Level Salary Bonus
acc
2
300
30
SEC
1
100
10
SEC
2
200
20
MGR
3
700
70
ACC
1
300
30
ACC
1
100
10
MGR
3
400
40
The following SAS program is submitted:
proc sql;
select *
from one
where job in ('ACC','MGR');
Exam : A00-212
Title
: SAS Advanced Programming
Ver
: 07.25.08
A00-212
QUESTION 1
The following SAS program is submitted:
Data sasuser.history;
Set sasuser.history(keep=state x y
Rename = (state=ST);
Total=sum(x,y);
Run;
The SAS data set SASUSER.HISTORY h
Inference for a Population
Proportion
Lecture # 14
June 8, 2016
Motivation: One Sample Proportion Test
Scenario:
Take a survey to determine percentage
of people who are left-handed. Of 80 people
surveyed, 12 answered they are left-handed.
Question: Can we
Histogram of age
11/9/14, 11:40 PM
Histogram of age
Normal
10
Frequency
8
6
4
2
0
-12
0
12
24
age
Descriptive Statistics
N
50
Mean
19.680
StDev
16.155
Minimum
0
Maximum
51
36
48
Ethan Schollaert
Stats HW 10
Wednesday 1pm Recitation
6.12)
a. I am 95% confident that the true mean falls between 69 and 77.
b. Larger since you would be more confident therefore have a more
expansive number set to choose from
6.13)
The margins of error
Ethan Schollaert
HW 12
7.120
a) single sample you want an equal chance at selecting anyone and everyone
included to have an average age
b) independent samples since you are not asking the same people and there are
more than two treatment conditions (1-7)
Ethan Schollaert
Stats HW 9
Wednesday 1pm Recitation
5.14)
a. 1.24/sqrt(150)=.101
b. 95% of the data is within 2 standard deviations of the mean or in this case
from 6.678 to 6.971
c. Z=(6.9-6.78)/.101= 1.188 or it means that 6.9 is greater than 88.1% of
Do:
1. What is the average price per gallon of gas in Pittsburgh and the surrounding
area? H0= The average cost per gallon of gas in Pittsburgh is $3.00 from
gasbuddy.com. This is a quantitative variable.
2. I believe the average value of gas in Pittsburg
Ethan Schollaert
HW 13
9.35
a) 206
b) They are separate samples so the table is two way:
YES
NO
PRESIDENTS
206
189
GENERAL PUBLIC
621
1521
c) Column totals represent the two sample sizes taken while row totals may be
considered as the overall opinion on t
Descriptive Statistics: age
11/9/14, 11:40 PM
Statistics
Variable
age
N
50
N*
0
Mean
19.680
SE Mean
2.285
StDev
16.155
Minimum
0.000
Q1
3.000
Median
19.000
Q3
33.000
Maximum
51.000
Ethan Schollaert
Stats HW 9
Wednesday 1pm Recitation
5.14)
a. 1.24/sqrt(150)=.101
b. 95% of the data is within 2 standard deviations of the mean or in this case
from 6.678 to 6.971
c. Z=(6.9-6.78)/.101= 1.188 or it means that 6.9 is greater than 88.1% of