In: Statistics and Probability
Chi Square Assignment
Foundational Knowledge:
1. When is chi-square used?
Critical Thinking and Application:
1. Create null and research hypothesis statements and formulas for the following scenario:
Sam wants to know out of all majors, which has the most students?
H0:
H1:
2. Using the numbers provided below, calculate a one-sample Chi-Square and interpret the outcome at the .05 level. (where O = observed; E = expected) [In this example, we are expecting there to be the same number of majors for each group. This is the expected numbers. The observed was how many were actually in each group. Our null hypothesis (H0: P1 = P2) is that each major has the same amount of people.]
Major |
O |
E |
(O-E) |
(O-E)2 |
(O-E)2/E |
Psychology |
20 |
15 |
|||
Nursing |
10 |
15 |
|||
Criminal Justice |
15 |
15 |
|||
Total |
45 |
This box is your x2(2)
N = _____, df = _______ Critical Value: _______________
x2(2) = ______, p __ .05
3. Interpret your findings. Is the test significant? Accept or reject the null hypothesis?
Topping |
Frequency |
Pepperoni |
8 |
Mushrooms |
3 |
Cheese only |
6 |
Sausage |
12 |
Deluxe |
5 |
Veggie |
2 |
TOTAL |
N = df =
Topping |
O |
E |
(O-E) |
(O-E)2 |
(O-E)2/E |
Pepperoni |
|||||
Mushrooms |
|||||
Cheese only |
|||||
Sausage |
|||||
Deluxe |
|||||
Veggie |
|||||
TOTAL |
36 |
(see page 326 appendix H to find) Critical Value (at .05) =
x2(2) = p<
Interpretation (explain what this result means):