![]() ![]() This would represent an alternative hypothesis of H_: \mu < 10. We are testing the hypothesis that the mean weight of purses for all students at this college is less than 10 pounds. Before we can enter any information, we need to figure out our hypotheses and what information we have. I completely admit that this is a much bigger step than step 1. You can also use this direct link: Wolfram Alpha t-test Calculator Usually we would talk much more about assumptions and such but for the sake of this post, we aren’t focused on the theory. If our data is mostly symmetric or we have a large enough sample, we can use a t-test. At a significance level of 0.05, is there evidence that the mean weight for all such students is less than 10 pounds, as thought?Īs you can see, we are testing a hypothesis about the mean and do not know the population standard deviation. In a random sample of 35 students from this college who carried purses, the average weight was 8.3 pounds with a standard deviation of 3.9 pounds. The mean weight of purses carried by students at a college is thought to be less than 10 pounds. To show you what I mean, I am going to make up a silly example that we can try out. Now, there are already a few online t-test calculators out there, but none of them seems to have the same amount of information or the same “ease of use”. One of those is the way they have reorganized things to make some really nice online statistics calculators. While there have been some changes I am not happy with (ads – no solutions without an account), there have also been several I love. ![]() I have been a fan of Wolfram Alpha from the very beginning. ![]()
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