In: Statistics and Probability
A clinical trial is conducted to compare an experimental medication to placebo to reduce the symptoms of asthma. Two hundred participants are enrolled in the study and randomized to receive either the experimental medication or placebo. The primary outcome is self-reported reduction of symptoms. The data are recorded as follows.
Change in Symptoms |
|||||
Treatment |
Much Worse |
Worse |
No change |
Better |
Much Better |
Experimental |
11 |
18 |
36 |
29 |
11 |
Placebo |
13 |
23 |
40 |
11 |
8 |
Is there a difference in change in symptoms by treatment group? Run the appropriate test at a 5% level of significance.
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 | 11 (12.60) [0.20] | 18 (21.52) [0.58] | 36 (39.90) [0.38] | 29 (21.00) [3.05] | 11 (9.98) [0.11] | 105 |
Placebo | 13 (11.40) [0.22] | 23 (19.48) [0.64] | 40 (36.10) [0.42] | 11 (19.00) [3.37] | 8 (9.02) [0.12] | 95 |
Column Totals | 24 | 41 | 76 | 40 | 19 | 200 (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