Use a 5% level of significance and the correct non-parametric test, to test whether the mean number of "correctly identified" people in using algorithm A is significantly larger than the mean number of "correctly identified" people in using algorithm B. Use the p-value approach.

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Consider the data below:
Algorithm A.
Algorithm B.
Total Correct
Total Correct
Sign
Position1
11
Position1
13
Position2
11
Position2
7
Position3
9.
Position3
Position4
16
Position4
9 | +
Position5
11
Position5
8.
Position6
16
Position6
9 +
Position7
16
Position7
3 +
Position8
7
Position8
11
%3D
Position9
8.
Position9
7
Position10
17
Position10
Position11
15
Position11
10
Position12
12
Position12
11
+ + +
3.
9
Transcribed Image Text:Consider the data below: Algorithm A. Algorithm B. Total Correct Total Correct Sign Position1 11 Position1 13 Position2 11 Position2 7 Position3 9. Position3 Position4 16 Position4 9 | + Position5 11 Position5 8. Position6 16 Position6 9 + Position7 16 Position7 3 + Position8 7 Position8 11 %3D Position9 8. Position9 7 Position10 17 Position10 Position11 15 Position11 10 Position12 12 Position12 11 + + + 3. 9
2) Two facial recognition software algorithms are tested, algorithm A and algorithm B. The
two software algorithms are tested on a group of 20 people (notice that both algorithms are
applied to the same group of people. The 20 people are asked to pose in 12 different positions; a
photo is then taken and passed to both algorithm A and algorithm B. The algorithm attempts to
identify the person in the photo.
Use a 5% level of significance and the correct non-parametric test, to test whether the mean
number of "correctly identified" people in using algorithm A is significantly larger than the mean
number of "correctly identified" people in using algorithm B. Use the p-value approach.
Transcribed Image Text:2) Two facial recognition software algorithms are tested, algorithm A and algorithm B. The two software algorithms are tested on a group of 20 people (notice that both algorithms are applied to the same group of people. The 20 people are asked to pose in 12 different positions; a photo is then taken and passed to both algorithm A and algorithm B. The algorithm attempts to identify the person in the photo. Use a 5% level of significance and the correct non-parametric test, to test whether the mean number of "correctly identified" people in using algorithm A is significantly larger than the mean number of "correctly identified" people in using algorithm B. Use the p-value approach.
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