And the values are 0 and 1.

Of the 1706 observations, 1697 were included in the analysis.

Proc ANOVA then displays an analysis of variance table for the response variable,

also known as the dependent variable from the MODEL statement.

>> In this case, our response or dependent variable was NUMCIGMO_EST.

Our calculated F statistic, called the F Value in this output, is 3.54.

The significance, probability, or

P value associated with this F statistic, is labeled Pr > F.

And as you can see, the P value is .0601,

just over our P value .05 cut point.

If we look at the means table,

we see that young adult smokers without major depression,

as indicated by a value of 0, smoke an average of 312 cigarettes per month.

And that those with major depression, indicated by a value of one,

smoke on average 341.5 cigarettes per month.

Because the P value is greater than 0.05, actually 0.06,

we must accept the null hypothesis and say that these means are statistically equal.

And that there's no association between the presence or

absence of major depression in the number of cigarettes smoked per month among

young adult smokers.

>> If I chose to reject the null hypothesis,

I would be wrong six out of 100 times.

And again, by normal scientific standards, this is not adequate certainty to

reject the null hypothesis and say that there is an association.