What is confirmation bias?

"accept that the treatment worked if the number of 6’s is larger than a cut-off value c"
Do we do this before, during or after we have analyzed the data?

All statistical tests have two elements - name them

What is a false positive error?

What is a false negative error?

We should focus on avoiding what kind of error?

significance level = a test procedure’s probability of producing a______ error

The significance level is chosen ______ we see the data
– The p-value is calculated ____ we see the data – it is a summary statistic of the data

A statistical test only controls the probability of a false ______ error
The probability of a false ______ error can be very large

The chance of a false negative can be as large as_________ of the test

For single variables, the most important graphs are: (name 3)

For multiple variables, the most important graphs are:

Since intercept and slope are statistics, they have ____

A high correlation coefficient is always:

A low correlation coefficient is

The significance level tests the claim: “The slope is not zero”......

The larger the unknown slope is, the more likely it is that

A very small slope can be highly significant in one of the following two situations:

The confidence interval for the slope gives you information about:

If two variables X and Y are correlated, information about X can

If an omitted variable is the reason for the correlation, then changing X:

R-square is often used as a “measure of fit”
What does this actually mean?