The Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there is a difference between the level of computer anxiety experienced by female students and male students. They found the following: Males Females Mean of X 40.26 36.85 S 13.35 9.42 n 60 42 do an independent t-test on the data At the 0.05 level of significance, is there evidence of a significant difference in the average computer anxiety experienced by males and females.
The Computer Anxiety Rating Scale (CARS) measures an individual’s level of computer anxiety, on a scale from 20 (no anxiety) to 100 (highest level of anxiety). Researchers at Miami University administered CARS to 172 business students. One of the objectives of the study was to determine whether there is a difference between the level of computer anxiety experienced by female students and male students. They found the following:
|
|
Males |
Females |
|
|
40.26 |
36.85 |
|
S |
13.35 |
9.42 |
|
n |
60 |
42 |
do an independent t-test on the data
At the 0.05 level of significance, is there evidence of a significant difference in the average computer anxiety experienced by males and females.
Suppose μ1, μ2 are the population average computer anxiety experienced by males and females, respectively.
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How does the answer to this question differ from the method used to find the difference of variability for the same data?
(At the 0.05 level of significance, is there evidence of a difference in the variability of the computer anxiety experienced by males and females?)
vs.
(is there evidence of a significant difference in the average computer anxiety experienced by males and females.)
Are both of these questions answered the same way, using the same formulas and method?
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