stress_levels.xlsx contains data on the corticosterone levels of students measured before attending a biological data analysis class (column 'corticosterone_concentration_before_lecture') and the corticosterone levels of the same students measured before they took their final biological data analysis exam (column 'corticosterone_concentration_before_test'). Corticosterone is a stress hormone and, thus, its levels are an indication of the amount of stress the individual students are experiencing. This is clearly a paired design and you would ordinarily use a paired t-test to check if the stress levels increased before the exam. However, the data is skewed to the right and because some cortisol differences are negative a log transformation will not work. Therefore, you need to perform an appropriate non-parametric test to check if stress levels increase. S.No. Corticosterone_Concentration before lecture Corticosterone_Concentration before test 1 10 130 2 10 105 3 39 91 4 30 82 5 6 77 6 21 65 7 0 64 8 4 60 9 16 56 10 10 51 11 23 45 12 22 50 13 8 49 14 19 48 15 22 44 16 10 44 17 10 44 18 11 42 19 22 41 20 19 37 21 21 37 22 14 37 23 11 36 24 6 36 25 1 35 26 2 32 27 9 31 28 11 30 29 12 30 30 3 30 31 3 30 32 4 30 33 6 29 34 5 29 35 7 29 36 6 28 37 8 26 38 8 25 39 21 25 40 7 25 41 8 24 42 7 21 43 8 7 What is the P-value obtained from an appropriate two-tailed non-parametric test of the data in stress_levels.xlsx? Need to use sign test with binomial formula

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Description: stress_levels.xlsx contains data on the corticosterone levels of students measured before attending a biological data analysis class (column 'corticosterone_concentration_before_lecture') and the corticosterone levels of the same students measured be

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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stress_levels.xlsx contains data on the corticosterone levels of students measured before attending a biological data analysis class (column 'corticosterone_concentration_before_lecture') and the corticosterone levels of the same students measured before they took their final biological data analysis exam (column 'corticosterone_concentration_before_test'). Corticosterone is a stress hormone and, thus, its levels are an indication of the amount of stress the individual students are experiencing. This is clearly a paired design and you would ordinarily use a paired t-test to check if the stress levels increased before the exam. However, the data is skewed to the right and because some cortisol differences are negative a log transformation will not work. Therefore, you need to perform an appropriate non-parametric test to check if stress levels increase.

S.No.	Corticosterone_Concentration before lecture	Corticosterone_Concentration before test
1	10	130
2	10	105
3	39	91
4	30	82
5	6	77
6	21	65
7	0	64
8	4	60
9	16	56
10	10	51
11	23	45
12	22	50
13	8	49
14	19	48
15	22	44
16	10	44
17	10	44
18	11	42
19	22	41
20	19	37
21	21	37
22	14	37
23	11	36
24	6	36
25	1	35
26	2	32
27	9	31
28	11	30
29	12	30
30	3	30
31	3	30
32	4	30
33	6	29
34	5	29
35	7	29
36	6	28
37	8	26
38	8	25
39	21	25
40	7	25
41	8	24
42	7	21
43	8	7

What is the P-value obtained from an appropriate two-tailed non-parametric test of the data in stress_levels.xlsx? Need to use sign test with binomial formula

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