A six-sided die is thrown 50 times. The numbers of occurrences of each face are shown below.
Face | 1 | 2 | 3 | 4 | 5 | 6 |
Count | 12 | 9 | 8 | 9 | 7 | 5 |
Can you conclude that the die is not fair? Determine the type of test should be used in this situation and the test statistic.
a. |
Goodness of Fit, |
|
b. |
Goodness of Fit, |
|
c. |
Two sample z-test for proportions, z = 1.138 |
|
d. |
One sample z-test for proportions, z = 1.391 |
|
e. |
Test for Indepdence, |
As we are testing here whether the frequency of each number on the dice is equally likely, therefore this is a goodness of fit test for the 6 numbers which is a chi square test. Therefore a goodness of fit test ( a chi square test is the correct answer here)
The expected frequency for each of the 6 faces here is computed
as:
Ei = 50/6 = 25/3
Therefore the chi square test statistic now is computed here as:
Therefore 3.28 is the chi square test statistic value here.
For k - 1 = 5 degrees of freedom, the p-value here is obtained from the chi square distribution tables as:
As the p-value here is 0.6569 which is very very high, therefore the test is not significant here and therefore we dont have sufficient evidence here that the dice is not fair.
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