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Hypothesis testing assesses whether data are inconsistent with a given hypothesis (usually a null hypothesis of no effect).
2
votes
Justification of one-tailed hypothesis testing
You would use a one-sided hypothesis test if only results in one direction are supportive of the conclusion you are trying to reach.
Think of this in terms of the question you are asking. Suppose, fo …
5
votes
Why use Student's t distribution rather than Student's z distribution
Generally, when you do a statistical test, you want the null distribution of the statistic to have a stable form, so as to allow easy computation of P-values.
This is partly a historical consideratio …
3
votes
Accepted
How to determine a null and alternative hypotheses and interpret F-test results, a specific ...
You've mixed up the null and alternative hypotheses. In this case, the null hypothesis is that $\alpha = 0.1$. Since the P-value is greater than 0.05, we do not reject it.
This is just a variation o …