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A researcher for a pharmaceutical company wants to compare the effects of three treatments on 35 patients. The researcher assigns a treatment to each patient. The researcher wants to determine whether the treatment assignments are random.
To determine whether the treatment assignments are random, the researcher performs a runs test.
The p-value is 0.930, which is greater than the significance level of 0.05. The researcher does not have enough evidence to conclude that the data are not in random order.
| Number of Observations | |||
|---|---|---|---|
| N | K | ≤ K | > K |
| 35 | 2 | 23 | 12 |
| Null hypothesis | H₀: The order of the data is random |
|---|---|
| Alternative hypothesis | H₁: The order of the data is not random |
| Number of Runs | ||
|---|---|---|
| Observed | Expected | P-Value |
| 17 | 16.77 | 0.930 |
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