Suppose you wish to test if a number cube (die) is loaded or
not. If the die is not loaded, the theoretical probabilities for
each roll should be:
1 |
2 |
3 |
4 |
5 |
6 |
16 2/3 % | 16 2/3 % | 16 2/3 % | 16 2/3 % | 16 2/3 % | 16 2/3 % |
You roll the die 90 times and come up with the following
distribution:
1 |
2 |
3 |
4 |
5 |
6 |
15 | 14 | 20 | 12 | 15 | 14 |
What type of test should be used in this situation and what is the
test statistic?
a) One proportion z test; z = 2.110
b) χ2 Goodness of Fit; χ2 = 4.074
c) χ2 Goodness of Fit; χ2 = 2.400
d) Two proportion z test; z = 0.082
e) One proportion z test; z = 0.082
f) None of the above
using minitab
enter dataa>stat>tables>chi square goodness of fit>select coloumn>select equal proportions>ok
Chi-Square Goodness-of-Fit Test for Observed Counts in Variable: C1
Test Contribution
Category Observed Proportion Expected to Chi-Sq
1 15 0.166667 15 0.00000
2 14 0.166667 15 0.06667
3 20 0.166667 15 1.66667
4 12 0.166667 15 0.60000
5 15 0.166667 15 0.00000
6 14 0.166667 15 0.06667
N DF Chi-Sq P-Value
90 5 2.4 0.791
answer is χ2 Goodness of Fit; χ2 = 2.400
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