A pharmaceuticals company claims to have developed a cure for the common cold. In order to test whether this is true, one group of recent cold-sufferers was given this medicine and another group was given a placebo instead. The selection process was completely random.
The participants were examined two hours after they were given the medicine or placebo. The results are tabulated below:
Placebo | Medicine | Total | |
---|---|---|---|
No Effect | 36 | 49 | 85 |
Cold Cured | 39 | 38 | 77 |
Total | 75 | 87 | 162 |
You plan to test whether the medicine has any effect on the cold by conducting a chi-square test for association on the data available. Calculate the chi-square test statistic (χ2) using SPSS. Give your answer to 4 decimal places.
a) χ2 =
b)At α = 0.05, the null hypothesis that the medicine has no effect is (rejected / not rejected)
a) The observed and expected values are as below
Observed | |||
Yes | No | Total | |
Men | 36 | 49 | 85 |
Women | 39 | 38 | 77 |
Total | 75 | 87 | 162 |
Expected | |||
Yes | No | Total | |
Men | 39.35 | 45.65 | 85 |
Women | 35.65 | 41.35 | 77 |
Total | 75 | 87 | 162 |
Chi square is calculated as below.
Number | Observed | Expected | (O-E) | (O-E)2 | (O-E)2/E |
1 | 36 | 39.35 | -3.35 | 11.23491084 | 0.2855 |
2 | 39 | 35.65 | 3.35 | 11.23491084 | 0.3152 |
3 | 49 | 45.65 | 3.35 | 11.23491084 | 0.2461 |
4 | 38 | 41.35 | -3.35 | 11.23491084 | 0.2717 |
Total | 1.1185 |
Chi Square = 1.1185
(b) The p value for chi square = 1.1185 is 0.2900
Since op value is > Alpha, the null hypothesis that the medicine has no effect is not rejected,
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