Chi-Square

Question 1

Why do we use Chi-Square Tests ?

Answer 1

To compare the validity of observed and expected data

Question 2

Null Hypothesis

Answer 2

There is no significant difference between the observed and expected frequencies.

Question 3

What’s the point of the Chi-Square Tet?

Answer 3

To accept or reject the Chi-Square value.

Question 4

How do you calculate the “Degrees of Freedom”

Answer 4

The number of possible outcomes minus 1
(N-1)

Question 5

What happens if the Chi-Square value is higher than the critical value?

Answer 5

You reject the null hypothesis.

Question 6

What happens if the Chi-Square value is lower than the critical value?

Answer 6

You accept the null hypothesis.

Question 7

What is the Chi-Square Equation?

Answer 7

X^2 = sigma (o-e)^2/e

Question 8

What does the Chi-Square Equation mean?

Answer 8

The sum of the observed value minus the expected value squared, divided by the expected value , of all the categories equals the Chi-Square Value.