What is the student's t-test used for?
The student's t-test is used to compare the mean values of two datasets.
This can determine whether the difference between the means is significant or due to chance.
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What are the conditions for using the student's t-test?
The conditions for using the student's t-test are that:
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What does the null hypothesis state in the context of a t-test?
The null hypothesis states that there is no significant difference between the means of the datasets.
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When would we accept the null hypothesis in a t-test?
We would accept the null hypothesis if the t statistic is lower than the critical value at a 5% significance level (p = 0.05).
This suggests that any differences between the means of the datasets is not significant and just due to chance.
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When would we reject the null hypothesis in a t-test?
We would reject the null hypothesis if the t statistic is higher than the critical value at a 5% significance level (p = 0.05).
This suggests that the difference between the means is statistically significant, and due to another factor other than chance.
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