c2
Test of Independence
& Goodness of Fit
Great news! There are only two big ideas in Chi- Square!
1st Big Idea - How Do You Say Chi-Square!

2nd Big Idea - It's All About Whether Or Not Proportions Differ.
Let's get right to a real example.
Discrimination at the Work Place
(Goodness of Fit - Remember this)
You are hired as a statistician by a disgruntled employee who says that the company discriminates on the basis of gender.
The employee's evidence - there are 6 male mangers and 4 females.
This is the classic situation of comparing proportions using the frequencies.
The complainant says:
There are 10 mangers.
If there was perfect equality based on Gender - then one would expect 5 males and 5 females. That would be the 50- 50 split based on equal proportions of .5 and .5 or 50% vs. 50%
Expected Males = 5, Expected Females = 5.
However, she observed 6 males and 4 females. This is a 60-40 split
So she said that the observed is different from the expected.
In other words.
O (observed) (E)Expected
or
O (observed) - (E)Expected 0
{what are the boxes for? Should be not equals?}