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?}