#$18.$ Tutorial # $6$ has instructions for inputting selected variables and cleansing the file kss of SPSS code. Be sure you understand Tutorial $6$ before proceeding.

Use the following Statistics for a data quality check before proceeding.

Variable n

min

$1$

mean

cigsmokd

$182$

$55$

$20\mathrm{.}467$ cigarettes

kixofar

$183$

$178$

$0$

$50$

$12\mathrm{.}240$

cigarettes

breathco

$8$

max

$125$

$44\mathrm{.}702$ ppm

Unless you get these values there are likely errors in your SAS coding.

One of the objectives of the Kitchener Smoking Survey $($kss$)$ was to determing to what extent exposure to cigarette smoke $($breathco$)$ depended on self declared variables such as gender, cigarettes smoked per day $($cigsmokd$)$ and cigarretes smoked prior to the survey interview $($cigsofar$).$

To answer these questions various hypotheses need to be tested $($a $=\mathrm{.}05).$

The data collected in the file kss consists of n $=184$ interviews of randomly selected smokers who resided in Kitchener at the time of the survey.

You will need to customize your answer to Question $18$ as follow:

The entire data set to be used is kss $($all n $184$ observations$).$ Download kss from LEARN and paste the data into the SAS Editor.

Construct a suitable input paragraph to read in the following variables.

Based on the sum of the last $2$ digits of your student ID$,$ pick the Variable set below that matches your sum. Use this customized kss file to answer questions $18$:

You will need to read in three variables from the file kss as follows: Tutorial $6$ explains how this is accomplished, so do Tutorial $6$ first.

SUM IS

Last $2$ digits of II$)$

$0$ through $5$

Gender

Gender to study

male

female

Variablel

gender

Variable$2$

cigsmokd

Variables to read in from KSS

Variable$3$

breathco

$6$ through $8$

gender

cigsmokd

breathco