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1. You are comparing whether a junior high anti-drug program has an effect on the rates of drug use in junior high students such that students completing the anti-drug program will have lower rates of drug usage. You random sample 100 seventh grade students before they enter the program and after they complete the program. Which test do we use to see if the difference in our sample is statistically significant? Why? Should it be one or two-tailed?
2. A researcher is studyin the difference between gender and support of the death penalty. The researcher feels that men are more likely to support the death penalty than women. Both the IV and DV are defined as nominal dichotomies and compared in a cross-tab. Which measure of association would the researcher use to compare the relationship between the IV and DV? Why?
Sketch the areas under the standard normal curve over the indicated intervals, and find the specified areas.
As it is a 2 _ 2 table, try also two-tailed two-sample z test for ð1 = ð2 and verify that z2 is same as your chi-square statistic. Which test do you favour? Describe why?
The mean of a standard normal probability distribution.
Taking α to be 0.05, what is/are the critical values associated with testing your hypothesis?
Here are the DMS odor thresholds for 10 untrained students:
Carry out an ANOVA and describe in detail in a BPS-formatted Results section:
A company makes camshafts. The camshaft lengths need to be within a certain tolerance or they will not fit. They have produced x bar and s charts
At the 0.05 significance level, can Ms. Bridgend conclude that she is earning an average of more than $20 in tips?
The Pearson Product-Moment Correlation Coefficient (r) is a measure of linear relationship between two variables.
When the names of all the students at Omega University were dropped to a fishbowl, they would include:
Calculate the population mean and population standard deviation.
Find the area under the normal distribution curve to the right of z = -1.03.
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