Exam 2

An alternative hypothesis generally states that there is some significant change/effect, or the opposite of the null.

Is hypothesis testing descriptive or inferential statistics?

A high p-value means it's likely the difference I found would happen if the null were true/can be explained by chance

A low p-value means it is unlikely that the difference I found would happen if the null were true.

Comparing your sample to a population when you don’t know all the population parameters is a ______

What is a hypothesis?

Examining if there is a significant change in scores within the same group of people across two timepoints is a ______

Comparing your sample to a population when you know the population mean and standard deviation is a ______

Examining if there is a difference in scores between two different groups of people on the same outcome is a ______

I ran a one-tailed Z test. Critical Z = 2.1, my test statistic = 3. Would I reject or fail to reject Ho?

A null hypothesis generally states that there is no change/difference/effect.

The critical value is

Two-tailed repeated samples t test: Critical t = +/- 1.2, test statistic = 1. Would I reject or fail to reject Ho?

When would I reject the null hypothesis?

If my p value is low, i will reject the null hypothesis.

Why are effect sizes useful in hypothesis testing?

I compared scores on anxiety from pre-treatment to post to see if there was a change. What type of test is this?

If my p value is high, i will reject the null hypothesis.

The probability value (p-value) is:

One vs two-tailed refers to

Two-tailed single sample t test: Critical t = +/- 1.7, test statistic = -2. Would I reject or fail to reject Ho?

The significance level is

one-tailed independent samples t test: Critical t = 2.5, test statistic = -3. Would I reject or fail to reject Ho?