In: Statistics and Probability
Conduct the hypothesis test and provide the test statistic, critical value and P-value, and state the conclusion.
A person drilled a hole in a die and filled it with a lead weight, then proceeded to roll it
200200
times. Here are the observed frequencies for the outcomes of 1, 2, 3, 4, 5, and 6, respectively:
2626,
3030,
4848,
4141,
2828,
2727.
Use a
0.010.01
significance level to test the claim that the outcomes are not equally likely. Does it appear that the loaded die behaves differently than a fair die?Click here to view the chi-square distribution table.
LOADING...
The test statistic is
nothing .
(Round to three decimal places as needed.)
Given Die is rolled for 200 times
the probabilities of getting the number 1 to 6 is equally likely which is equal to 1/6 which mean the expected frequency for each number = 200/6 = 33.3
Observed frequencies Oi | Expected frequencies Ei | (Oi - Ei)^2 | ((Oi - Ei)^2)/Ei |
26.0 | 33.3 | 53.8 | 1.6 |
30.0 | 33.3 | 11.1 | 0.3 |
48.0 | 33.3 | 215.1 | 6.5 |
41.0 | 33.3 | 58.8 | 1.8 |
28.0 | 33.3 | 28.4 | 0.9 |
27.0 | 33.3 | 40.1 | 1.2 |
the test statistic
= 1.6 + 0.3 + 6.5 +1.8 + 0.9 + 1.2 = 12.220
degrees of freedom = number of outcomes -1 = 6 - 1 = 5
given level of significance = 0.01
Hypothesis
Null Hypothesis: the outcomes are equally likely.
Alternative Hypothesis : the outcomes are not equally likely.
critical value = 15.09
Since critical value is greater than test statistic we fail to reject null hypothesis and conclude that there is no reason to believe that the outcomes are not equally likely, which means the outcomes are equally likely, the loaded die does not behaves differently than a fair die