Using the theoretical example of whether men or women are better at map reading, and testing 50 men and 50 women, what sort of results would you need to conclude that there was a difference in map reading ability?
Average male score: 0.60 Average female score: 0.61 Null hypothesis correct
Average male score: 0.1 Average female score: 0.92 Null hypothesis rejected
Average male score 0.62 Average female score: 0.68 Is this significant???
The only way to find out is to perform a statistical test on the data. This will tell us the probability of our results occurring if the null hypothesis is true (ie if there is no difference in map reading ability). If this probability is less than 0.05 then we say that our results are significant, and that we can reject the null hypothesis.
Today's powerpoint is here. We also revised ethics and descriptive statistics from AS so do make sure you go over the relevant section in the textbook. Ethics ppt here, ethics mix and match sheet here, example information sheet and consent form here, and graphs matching activity here.
We will be going over this stuff a few times so don't worry if it bamboozles you to begin with.
No comments:
Post a Comment