Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion. A person randomly selected 100100 checks and recorded the cents portions of those checks. The table below lists those cents portions categorized according to the indicated values. Use a 0.100.10 significance level to test the claim that the four categories are equally likely. The person expected that many checks for whole dollar amounts would result in a disproportionately high frequency for the first category, but do the results support that expectation?
Cents portion of check |
0-24 |
25-49 |
50-74 |
75-99 |
|
---|---|---|---|---|---|
Number |
5757 |
1919 |
1313 |
1111 |
1) The test statistic is
2)The critical value is
3
Q1) As we are testing the claim that all the four categories are equally likely, therefore the expected frequency for each of the 4 categories here would be computed as: 100*0.25 = 25
The chi square test statistic here is computed as:
Therefore 56 is the test statistic value here.
Q2) As we are testing here at 0.1 level of significance, for n - 1 = 3 degrees of freedom, we have from the chi square distribution tables:
Therefore,
Therefore 6.2514 is the critical value required here.
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