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One-sample t-test for the mean

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... equally, that the chance the observed effect occurred by chance was 5%. That’s the best statistics can do, it cannot prove that the observed effect was real, only increase our confidence in the reality! As an aside at this point, we asked ourselves how we actually made the comparison between the ‘be ...
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Student's t-test

A t-test is any statistical hypothesis test in which the test statistic follows a Student's t-distribution if the null hypothesis is supported. It can be used to determine if two sets of data are significantly different from each other, and is most commonly applied when the test statistic would follow a normal distribution if the value of a scaling term in the test statistic were known. When the scaling term is unknown and is replaced by an estimate based on the data, the test statistic (under certain conditions) follows a Student's t distribution.
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