Assume that your campus experienced an increase in the numbers of robberies, assaults, and theft. Campus security decides to implement a notification system (students receive a text with the basic info of the incident and are reminded to be aware of their surroundings at all times). You are interested in how these notifications will impact perceived levels of campus safety. With the permission of your dean, you draw a random sample of 30 students and ask them prior to implementation how safe they feel on campus on a scale from 1 to 10 (with 10 representing the highest level of perceived campus safety). Six months after implementation, these 30 students are asked to report their current level of perceived campus safety. You select an alpha level of 0.05. The results of your survey are reported in the table below.
a. State your null and alternative hypotheses (two tailed because you don't know what impact such a system will have).
b. Compute the degrees of freedom.
c. State the decision rule.
d. Compute (for both dependent samples) the sums, means, and standard deviations, differences, and squared differences.
e. Compute t (using formula 6-3).
f. Interpret the t score.
g. Calculate the measure of association with eta squared (η2) using formula 6-5. Interpret your findings.
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Q3: You are conducting a study and are
Q4: Fill in the blank:
a. By selecting a
Q5: Assume you are in possession of data
Q6: Let us practice 5c and 5d some
Q7: Let us assume that previous research indicates
Q8: The t test is the appropriate test
Q9: You want to compare means of two
Q10: Assume you want to compare the means
Q11: Taking the example above, we now want
Q12: The local police department decided to implement
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