STA270 Test 3 Review

To use the standard error method to find a confidence interval using a normal distribution, I need:

z = z*

Which of these p-values would result in us rejecting the null hypothesis at a significance level of 3%

A small alpha value makes it [...] to reject the null hypothesis

I (Justin) have office hours Tuesday, Wednesday and Thursday

Jeopardy! The probability of seeing our sample statistic or something more extreme, assuming the null hypothesis is true

Vitaliy has office hours Today @ 5:30 pm

Which of these is valid?

Larger samples sizes make it easier to find significant results if the alternative hypothesis is true

A smaller p-value is less evidence against the null hypothesis

Type II error is when we fail to reject the null hypothesis even when the alternative is true.

Given the distribution, which sample statistic will have the smallest p-value? (μ = 25)

If n=100, r = .34, s = 5, and SE = .5, find the standardized test statistic

Which of these is not equivalent to the other three?

Which p-value provides the most evidence against the null hypothesis, in favor of the alternative?

When using a normal distribution to find a p-value, we are approximating a randomization distribution

My confidence level for a hypothesis test with a significance level of 1% is 1%

Type I error is when we fail to reject the null hypothesis even when the alternative is true

Which of these is the correct z*value for a 90% confidence interval?

What Chapters does Test 3 cover?

When finding a confidence interval using a normal distribution, we are approximating a bootstrap distribution

Which of these is the standard normal distribution?

If you have questions on the test (for example, what am I asking) you can *always* ask for clarification