A pharmaceutical company wants to study the effectiveness of a new drug in treating migraine headaches. For its trial, it gathers randomly selected volunteers regardless of their age, gender, or race. Is this an appropriate, random sample on which the pharmaceutical company can rely to draw its conclusions?(1 point) Responses No, this is not an appropriate, random sample. The company should only run the trial on volunteers age 50 and older. No, this is not an appropriate, random sample. The company should only run the trial on volunteers age 50 and older. No, this is not an appropriate, random sample. The company should only run the trial on female volunteers because migraine headaches are more common in women. No, this is not an appropriate, random sample. The company should only run the trial on female volunteers because migraine headaches are more common in women. Yes, this is an appropriate, random sample. Yes, this is an appropriate, random sample. There is not enough information to determine whether this is an appropriate, random sample for the population in this scenario. There is not enough information to determine whether this is an appropriate, random sample for the population in this scenario. Skip to navigation

1 answer

The ideal response would likely be: There is not enough information to determine whether this is an appropriate, random sample for the population in this scenario.

While random selection is a key factor in reducing bias, the effectiveness of the trial may depend on including a representative sample of the population that experiences migraines. Characteristics such as age, gender, and possibly other factors can influence the prevalence and severity of migraine headaches. Therefore, without knowing more about the demographics of the selected volunteers in relation to the general population of migraine sufferers, it's difficult to conclude whether the sample is appropriate.