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Psychologists have found that people are generally reluctant to transmit bad news to their peers. This phenomenon has been termed the "MUM effect." To investigate the cause of the MUM effect, 40 undergraduates at Duke University participated in an experiment. Each subject was asked to administer an IQ test to another student and then provide the test taker with his or her percentile score. Unknown to the subject, the test taker was a bogus student who was working with the researchers. The experimenters manipulated two factors:subject visibilityandsuccess of test taker, each at two levels. Subject visibility was eithervisibleornot visibleto the test taker. Success of the test taker was eithertop 20%orbottom20%. Ten subjects were randomly assigned to each of the 2 x 2 = 4 experimental conditions, then the time (in seconds) between the end of the test and the delivery of the percentile score from the subject to the test taker was measured. (This variable is called thelatency to feedback.) The data were subjected to appropriate analyses with the following results. The following is a partially completed 2-way analysis table.

SourcedfSSMSF

Subject visibility11380.244.26

Test taker success11325.16

Interaction13385.80

Error11,664.00

Total17,755.20

1) What are the sum of squares due to factor subject visibility?

2) How many degrees of freedom does 'Error' have ?

3) How many treatment combinations are there in the experiment?

4) Perform the F- test on 'Test taker success'. Is the factor 'Test taker success' significant()? F_0.05,1,36= 4.12 ( Even though F critical value is provided here, you must make sure that you can comfortably read F tables for your exam)

5) Perform the F- test on 'Interaction'. Is the factor 'Interaction' significant()?