Thanks for your quick reply!
Yes, I feel I have enough to explain about how and why I used a Chi-square and the interpretation of the p-value produced. (This has been a crash course in statistics for me!)
I am using the following website for the statistical tests, I did not do the math myself.http://faculty.vassar.edu/lowry/odds2x2.html
It does chi-square for data where all the expected cell values are over 5 or Fisher Exact Probability if one of the expected cell values are under 5. Most of my 'frustrated' tests use chi-square and my 'distracted' tests use Fisher, is that okay? Also, the website gave the p-values for Yates and Pearson. Is that okay that I listed both p-values on my display board?
One of the values the website produces the a 'phi coefficient'. I spent a long time trying to track down what this meant and if it is part of the data for the Chi-square or a totally different test, and I am still confused.
The main questions are
If p-values are <.05, does the chi-square test show correlation? Or do I need the phi coefficient to be in a certain range as well? Or is that a different test all together (Pearson Product-Moment Correlation Coefficient)?
There is an empty spot on my display waiting for my conclusion. I'm really having trouble with the wording. Which of these do you think is best?
My data provide convincing evidence that women over 30 years old in Washington State, who responded by saying store music was loud or had a strong rhythmic beat, tended to be more frustrated and distracted.
My data provide convincing evidence of a strong correlation between music with a strong, rhythmic beat and customer frustration and distraction, for women over 30 in Washington State.
I found a strong correlation that women over 30 in Washington State tended to be more frustrated and distracted when they described the store music as loud or having a strong beat.