I agree with you option a would be my guess
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Answer:
And on this case if we see the significance level given we see that
so we fail to reject the null hypothesis that the observed outcomes agree with the expected frequencies at 10% of significance.
Step-by-step explanation:
A chi-square goodness of fit test determines if a sample data obtained fit to a specified population.
represent the p value for the test
O= obserbed values
E= expected values
The system of hypothesis for this case are:
Null hypothesis:
The statistic to check the hypothesis is given by:
On this case after calculate the statistic they got:
And in order to calculate the p value we need to find first the degrees of freedom given by:
, where k represent the number of levels (on this cas we have 10 categories)
And in order to calculate the p value we need to calculate the following probability:
And on this case if we see the significance level given we see that
so we fail to reject the null hypothesis that the observed outcomes agree with the expected frequencies at 10% of significance.