1. Give an example of a number that cannot be a correlation coefficient (Pearson's r) and is a negative number.
2. Interpret the following statement. A researcher collected data on the correlation between grades in a course and the number of absences in the classroom. The r = -.38.
a. Write a sentence interpreting these findings.
b. Write another sentence explaining the findings if the other variable is the number of hours spent working per week and the r = .06.
3. What must the P-value be in order to reject it? Explain yourself.
4. What affects the probability of a Type II error?
5. What could be the issues of a researcher not finding any statistical significance in their research results?