I am trying to find anappropriate statistical test to run for a research study usingsomeone else's gathered data (so that no IRB process is needed). Intheir data they present:

Likelihood of FallingAsleep:

Never 17

Seldom 22

Moderate 15

High 12

Use of napping duringduty:

Never 27

Rarely 19

Sometimes 16

Often 4

To simplify I thinkthat it would probably be beneficial to group these as:

Likelihood of FallingAsleep

Never: 17

Yes: 49

Use of Napping DuringDuty:

Never: 27

Yes: 39

So variables are:

Likelihood of FallingAsleep

Use of Naps onDuty

Hypothesis:

Null hypothesis:Likelihood of Falling Asleep and variable Use of napping duringduty are independent of each other.

Alternativehypothesis: Likelihood of Falling Asleep and variable Use ofnapping during duty are not independent.

Both of these seem tobe independent variables, but is there a way to show a relationship(or lack thereof) without a dependent variable. In this case thedependent variable could be "pilot" of which 66 were surveyed forthe study that I am taking the data from. Trying accurately to showwhether or not the likelihood of falling asleep in the cockpit isrelated to whether or not the pilot naps on duty outside of thecockpit.

I think a Chi Squarewould be a way to attempt to show whether or not a relationshipexists, however I get stuck when I input data into stat crunch as achi square compares the actual data to what we expect should happen(in this case 33/33). Is there a good way to test the two againsteach other or to show possible relationships?

Thanks!