![]() ![]() The lowest level typically accepted in publications is a 5% chance. What if for some reason you noticed that actually, people who took Zink had symptoms for 1 day longer? It might be tempting to change our test into a two-sided hypothesis test because we noticed that it would give us a significant result!īut what is actually happening if you decide to change the hypothesis testing into a two-sided one? It’s simple, your significance level changes from 0.05 to 0.075, aka we increase our tolerance of random chance to 7.5% (5% + 2.5%). You can not change what kind of test you want after you have performed your hypothesis test.įor example, imagine that you think that Zink will improve the situation and therefore you make a one-sided test. Heck, you should decide that before you even collected your data. It is important to decide between if you want to do a one-sided test or a two-sided test before you perform the test. In general, if you’re not confident in what direction your test result will go, it’s always best to use the two-sided hypothesis test. One-sided test on the left and a two-sided test on the right. The critical value is the score in which we feel confident enough to reject the null hypothesis and accept the alternative hypothesis. To be able to reject our null hypothesis H 0 our score has to pass a critical value. Now we want to know where in our distribution the score lies. ![]() We draw a sample from the population and use the data to calculate a statistic. ![]()
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