Determine the P-value of the test statistic. Do the results suggest that polygra
ID: 3310736 • Letter: D
Question
Determine the P-value of the test statistic.
Do the results suggest that polygraphs are effective in distinguishing between truth and lies?
A.
There is sufficient evidence to warrant rejection of the claim that whether a subject lies is independent of the polygraph test indication.
This is the correct answer.B.
There isThere is sufficient evidence to warrant rejection of the claim that polygraph testing is 95% accurate.
Your answer is not correct.C.
There is notThere is not sufficient evidence to warrant rejection of the claim that polygraph testing is 95% accurate.
D.
There is notThere is not sufficient evidence to warrant rejection of the claim that whether a subject lies is independent of the polygraph test indication.
Explanation / Answer
Solution:
For the given scenario of null and alternative hypothesis, first we have to find chi square test statistic and then we have to find p-value. After finding p-value we have to take decision regarding the null hypothesis.
The test statistic formula is given as below:
Test statistic = Chi square = [(O – E)^2/E]
Where, O is observed frequencies and E is expected frequencies.
Expected frequencies = E = row total * column total / grand total
Calculation tables are given as below:
Observed Frequencies (O)
Did the subject actually lie?
Row variable
No
Yes
Total
Polygraph test indicated that the subject lied
8
31
39
Polygraph test indicated that the subject did not lie
14
14
28
Total
22
45
67
Expected Frequencies (E)
Did the subject actually lie?
Row variable
No
Yes
Total
Polygraph test indicated that the subject lied
39*22/67 =12.80597
39*45/67 =26.19403
39
Polygraph test indicated that the subject did not lie
28*22/67 =9.19403
28*45/67 =18.80597
28
Total
22
45
67
( O - E)
-4.80597
4.80597
4.80597
-4.80597
(O - E)^2/E
1.803639
0.881779
2.512212
1.228192
We are given
Level of significance = = 0.05
Number of rows = r = 2
Number of columns = c = 2
Degrees of freedom = (r – 1)*(c – 1) =(2 – 1) * (2 – 1) = 1*1 = 1
Critical value = 3.841459
Test statistic = Chi square = [(O – E)^2/E] = 6.425822
P-value = 0.011247
P-value < = 0.05
So, we reject the null hypothesis that whether a subject lies is not independent of the polygraph test indication.
There is sufficient evidence to conclude that whether a subject lies is not independent of the polygraph test indication.
There is sufficient evidence to warrant rejection of the claim that whether a subject lies is independent of the polygraph test indication.
Observed Frequencies (O)
Did the subject actually lie?
Row variable
No
Yes
Total
Polygraph test indicated that the subject lied
8
31
39
Polygraph test indicated that the subject did not lie
14
14
28
Total
22
45
67
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