Answer in in detail below. please let me know in case
you've doubts.
We will perform a Chi-Square test of independence between the
treatment and change in symptoms variables.
Here, the contingency table below provides the following
information: the observed cell totals, (the expected cell totals)
and [the chi-square statistic for each cell.
Below are :
Chi-square statistic, p-value and statement of
significance appear beneath the table.
| Results |
|
MuchWorse |
Worse |
NoChange |
Better |
MuchBetter |
Row Totals |
| Experimental |
11Â Â (12.60)Â Â [0.20] |
18Â Â (21.52)Â Â [0.58] |
36Â Â (39.90)Â Â [0.38] |
29Â Â (21.00)Â Â [3.05] |
11Â Â (9.98)Â Â [0.11] |
105 |
| Placebo |
13Â Â (11.40)Â Â [0.22] |
23Â Â (19.48)Â Â [0.64] |
40Â Â (36.10)Â Â [0.42] |
11Â Â (19.00)Â Â [3.37] |
8Â Â (9.02)Â Â [0.12] |
95 |
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
| Column Totals |
24 |
41 |
76 |
40 |
19 |
200Â Â (Grand Total) |
The chi-square statistic is 9.0833.
The p-value is .05905.
The result is not significant at p <
.05.
Answer: Since the p-value is NOT less than .05 it means
that three is NO difference in change symptoms by treatment
groups
