[EMAIL PROTECTED] (Katie) wrote in news:[EMAIL PROTECTED]:
> I have completed a survey (about tv) and I have some yes/no ranked > data. I also have groups, for example gender and age. > > I'm completely unsure how to statistically analyse this. > > From looking at my results, I can see in over 90% of males watched > football, but only 65% of females did. > > Is there a statistical test to compare these two groups and say they > are statistically different, I have some other yes/no data that is > closer together so a test would prove useful. What are you asking? Whether the proportion of football-watchers differs by gender? > > I thought of a chi squared test (a 2x2 contigency one I think it was > called) I tried it, but to be honest I was lost. Couldnt find any > useful examples on the internet and I think I will burn my stats book, > becuase frankly it was useless at explaining chi squared tests. > > Is the chi squared test the test to use to see if there is any > difference between yes/no ranked data and 2 or more groups? If so I > would appreciate if someone could explain the jist or could point me > towards a good example or something would be great. If you're asking whether the proportion of football-watchers differs by gender, then a 2X2 chi-squared test is in fact the appropriate test. A 2X2 chi-squared test is pretty simple, and if your textbook can't adequately explain it, various sources on the Web, available through a Google search, will be able to do so. . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
