In: Statistics and Probability
Null Hypothesis: die is Fair
alternate hypothesis: die is not fair
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Minitab output-
since, p value >α=0.05, fail to reject Ho
conclusion: die is fair
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observed frequencey, O | expected proportion | expected frequency,E | (O-E) | (O-E)² | (O-E)²/E |
13 | 0.17 | 10.000 | 3.00 | 9.00 | 0.900 |
7 | 0.17 | 10.000 | -3.00 | 9.00 | 0.900 |
6 | 0.1667 | 10.000 | -4.00 | 16.00 | 1.600 |
11 | 0.1667 | 10.000 | 1.00 | 1.00 | 0.100 |
10 | 0.1667 | 10.000 | 0.00 | 0.00 | 0.000 |
13 | 0.1667 | 10.000 | 3.00 | 9.00 | 0.900 |
chi square test statistic,X² = Σ(O-E)²/E =
4.4000
level of significance, α= 0.05
Degree of freedom=k-1= 6 -
1 = 5
P value = 0.4934 [ excel function:
=chisq.dist.rt(test-stat,df) ]
Decision: P value >α , Do not reject Ho