![]() And any time we want to compare or test whether observed data fits what is expected, we run a hi square goodness of fit test, which then we'd have to find a Chi Square test statistic. So therefore, our claim will be our null hypothesis, and our alternative hypothesis will be that the actual outcomes do not agree with the expected frequencies. So in order to do that, we will have to generate a hypothesis and we always generate are no hypothesis based on the observed data fitting or agreeing with the expected data. So we're going to run a hypothesis test to test this claim. He recorded his results in 10 10 different categories of outcomes, and he wants to test a claim that the actual outcomes agree with the expected frequencies. So the author purchased a slot machine and tested it by playing it 1197 times.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |