Perform the indicated goodness-of-fit
test.
You roll a die 48 times with the following results.
a. test statistic
b. critical value
Use a significance level of 0.05 to test the claim that the die is
fair.
Solution:
Given: Level of significance = 0.05
Claim: The die is fair.
Hypothesis of the study are:
H0: The die is fair.
Vs
H1: The die is not fair.
Part a) Test statistic:
Chi square test statistic for goodness of fit
Where
Oi = Observed Counts
Ei =Expected Counts = N / k = 48 / 6 = 8
Thus we need to make following table
Number | Oi: Observed Frequency | Ei: Expected Frequencies | Oi^2/Ei |
1 | 2 | 8 | 0.5 |
2 | 4 | 8 | 2 |
3 | 12 | 8 | 18 |
4 | 13 | 8 | 21.125 |
5 | 14 | 8 | 24.5 |
6 | 3 | 8 | 1.125 |
N = 48 |
Thus
Part b) Critical value:
df = k - 1 = 6- 1 = 5
Level of significance = 0.05
Thus chi-square critical value = 11.070
Step 4) Decision Rule:
Reject null hypothesis H0, if Chi square test statistic > Chi-square critical value = 11.070 , otherwise we fail to reject H0.
Since Chi square test statistic = > Chi-square critical value = 11.070 , we reject null hypothesis H0.
Conclusion: There is not sufficient evidence to support the claim that the die is fair.
Perform the indicated goodness-of-fit test. You roll a die 48 times with the following results. a....
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