WITHOUT USING TECHNOLOGY OR TI-84
the author drilled a hole in a die and filled it with a lead weight, then proceeded to roll it 200 times. here are the observed frequencies for the outcomes of 1,2,3,4,5 and 6, respectively: 27,31,42,40,28,32. use a 0.05 significance level to test the claim that the outcomes are not equally likely.
Chi square test for Goodness of fit
Ho: outcomes are equally likely
H1: outcomes are not equally likely
expected proportions = 1/ 6 = 0.7
expected frequncy,E = expected proportions*total frequency
total frequency= 200
category | observed frequencey, O | expected proportion | expected frequency,E | (O-E)²/E | ||
1 | 27 | 0.17 | 33.33 | 1.203 | ||
2 | 31 | 0.17 | 33.33 | 0.163 | ||
3 | 42 | 0.17 | 33.33 | 2.253 | ||
4 | 40 | 0.17 | 33.33 | 1.333 | ||
5 | 28 | 0.17 | 33.33 | 0.853 | ||
6 | 32 | 0.17 | 33.33 | 0.053 |
chi square test statistic,X² = Σ(O-E)²/E =
5.860
level of significance, α= 0.05
Degree of freedom=k-1= 6 -
1 = 5
P value >0.10
Decision: P value >α , Do not reject Ho
there is not enough evidence to conclude that the outcomes are not
equally likely at α=0.05
WITHOUT USING TECHNOLOGY OR TI-84 the author drilled a hole in a die and filled it...
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