You are conducting a multinomial Goodness of Fit hypothesis test for the claim that the 4 categories occur with the following frequencies:
Ho : pA=0.2; pB=0.3; pC=0.3; pD=0.2
Complete the table. Report all answers accurate to three decimal
places.
Category | Observed Frequency |
Expected Frequency |
---|---|---|
A | 28 | |
B | 38 | |
C | 28 | |
D | 39 |
What is the chi-square test-statistic for this data?
χ2=χ2=
What is the P-Value?
P-Value =
For significance level alpha 0.05,
What would be the conclusion of this hypothesis test?
Report all answers accurate to three decimal places.
Ho : pA=0.2; pB=0.3; pC=0.3; pD=0.2
H1 : The probabilities / proportions are not correct
Let the los be alpha = 5%
From the given data
Observed | Expected | |||
Category | Freq (Oi) | Prob | Freq Ei | (Oi-Ei)^2 /Ei |
A | 28 | 0.2 | 26.6 | 0.073684211 |
B | 38 | 0.3 | 39.9 | 0.09047619 |
C | 28 | 0.3 | 39.9 | 3.549122807 |
D | 39 | 0.2 | 26.6 | 5.780451128 |
Total: | 133 | 133 | 9.493734336 |
Num Categories: 4
Degrees of freedom: 3
Test Statistic, X^2: 9.494
P-Value: 0.0234
Here P-value < alpha (0.05) we reject H0
Correct answer:
Thus we conclude that the given probabilities / proportions are not correct
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