The following information is about the dataset cigarette. Use this information to answer questions
that follows the information.
 
NAME:  Cigarette data for an introduction to multiple regression
TYPE:  A sample of 25 brands of cigarettes
SIZE:  25 observations, 5 variables

DESCRIPTIVE ABSTRACT:
Measurements of weight and tar, nicotine, and carbon monoxide content
are given for 25 brands of domestic cigarettes.

SOURCES: 
Mendenhall, William, and Sincich, Terry (1992), _Statistics for
Engineering and the Sciences_ (3rd ed.), New York: Dellen Publishing
Co. (ISBN: 0 02380552 8)  
(Original source: Federal Trade Commission, USA)

VARIABLE DESCRIPTIONS: 
Brand name 
Tar content (mg) 
Nicotine content (mg) 
Weight (g)
Carbon monoxide content (mg)

1) create a sas dataset using the cigarette.txt dataset;
2) assign appropriate labels for the variables
3) print obs 11-15 observations
4) replace the obs number with the name of the cigarette;
5) create a new categorical variable to mark the high(=1) and low (=0) nicotine content based on the median value 
   of nicotine content
5) repeat previous part for variable carbon monxide content
6) Create formats that assigns 'HIGH' for the value 1 and 'low' for value 0 of the new variables
   that you created in previous question. 
7) calcultate the total nocotine content of all variables for type 'HIGH' and 'low'
8) Create a list of cigarettes which has Carbon monoxide content greater than 15mg and weight less than0.89g.
9) Sort this dataset by brand and assending weight values
10) create a sorted dataset (by brand and assending weight values) which only has tarcont greate than 16.5mg
11) List the cigaretts which has brands name coatains letters 'Ma' or 'Ra'
12) assign appropriate titles and footnotes.