2.46
A Type I error is rejecting the null when it is true.
If the critical value is 2.45, and you have a test statistic of 2.46, you have the least chance among the other choices of rejecting the null and it happens to be true.
We got another hypothesis here and our alternative that is less than five. So that's how we're gonna write it.
We're gonna be looking at a left tail test since it's less than the mean, Our means, always going to be in the middle here. And what we're trying to calculate is the probability that this is true.
The level of significance which is selected in
Step 1 (e.g., α =0.05) dictates the critical value.
For example, in an upper-tailed Z test, if α =0.05 then the critical value is Z=1.645.
Learn more about hypothesis testing at
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