Question

In: Statistics and Probability

5. Suppose you have a data set: Experiment 56 880 Control       15 398 Experiment 30 479...

5. Suppose you have a data set:

Experiment 56 880

Control       15 398

Experiment 30 479

Control       18 293

Experiment 35 365

Control       22 984

Control        13 230

Control        20 432

Experiment 34 560

Variables are treatment, weight (g), area (m2), please create a SAS program that:

(A). Reading the data and create a SAS data set;

(b). Create a new variable wt_per_area, using wt_per_area=weight/area and change the unit of weight from g to kg;

(c). Sort the data set by treatment;

(d). Calculate the mean, standard error of weight, area and wt_per_area;

(e). Calculate the mean and standard error for treatment=”experiment” and “control”.

Solutions

Expert Solution

SAS code:

/*create a SAS data set*/
data avi;
input treatment$1-10 weight area;
datalines;
Experiment 56 880
Control 15 398
Experiment 30 479
Control 18 293
Experiment 35 365
Control 22 984
Control 13 230
Control 20 432
Experiment 34 560
;
run;
proc print data=avi;
run;
/*(b)new variable wt_per_area, using wt_per_area=weight/area and change the unit of weight from g to kg*/
data avi3;
set avi;
wt_per_area=weight/(area*1000);
run;
proc print data=avi3;
run;
/*(c)Sort the data set by treatment*/
proc sort data=avi3 out=avi3_sort;
by treatment;
proc print data=avi3_sort;
run;
/*(d)mean, standard error of weight, area and wt_per_area*/
proc means data=avi3_sort;
run;
/*(e) mean and standard error for treatment=”experiment” and “control”*/
proc means data=avi3_sort;
by treatment;
run;

SAS output:

Obs treatment weight area
1 Experiment 56 880
2 Control 15 398
3 Experiment 30 479
4 Control 18 293
5 Experiment 35 365
6 Control 22 984
7 Control 13 230
8 Control 20 432
9 Experiment 34 560
The SAS System
Obs treatment weight area wt_per_area
1 Experiment 56 880 .000063636
2 Control 15 398 .000037688
3 Experiment 30 479 .000062630
4 Control 18 293 .000061433
5 Experiment 35 365 .000095890
6 Control 22 984 .000022358
7 Control 13 230 .000056522
8 Control 20 432 .000046296
9 Experiment 34 560 .000060714
The SAS System
Obs treatment weight area wt_per_area
1 Control 15 398 .000037688
2 Control 18 293 .000061433
3 Control 22 984 .000022358
4 Control 13 230 .000056522
5 Control 20 432 .000046296
6 Experiment 56 880 .000063636
7 Experiment 30 479 .000062630
8 Experiment 35 365 .000095890
9 Experiment 34 560 .000060714
The SAS System

The MEANS Procedure

Variable N Mean Std Dev Minimum Maximum
weight
area
wt_per_area
9
9
9
27.0000000
513.4444444
0.000056352
13.5000000
257.4082900
0.000020328
13.0000000
230.0000000
0.000022358
56.0000000
984.0000000
0.000095890
The SAS System

The MEANS Procedure

treatment=Control

Variable N Mean Std Dev Minimum Maximum
weight
area
wt_per_area
5
5
5
17.6000000
467.4000000
0.000044860
3.6469165
299.8829772
0.000015577
13.0000000
230.0000000
0.000022358
22.0000000
984.0000000
0.000061433

treatment=Experiment

Variable N Mean Std Dev Minimum Maximum
weight
area
wt_per_area
4
4
4
38.7500000
571.0000000
0.000070718
11.7011395
220.9841623
0.000016825
30.0000000
365.0000000
0.000060714
56.0000000
880.0000000
0.000095890

orchestra answered 2 years ago
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