observational studies quick check\na pharmaceutical company wants to study the effectiveness of a new drug…

observational studies quick check\na 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)\nno, this is not an appropriate, random sample. the company should only run the trial on volunteers age 50 and older\nyes, this is an appropriate, random sample.\nthere is not enough information to determine whether this is an appropriate, random sample for the population in this scenario\nno, 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.

observational studies quick check\na 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)\nno, this is not an appropriate, random sample. the company should only run the trial on volunteers age 50 and older\nyes, this is an appropriate, random sample.\nthere is not enough information to determine whether this is an appropriate, random sample for the population in this scenario\nno, 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.

Answer

Answer:

There is not enough information to determine whether this is an appropriate, random sample for the population in this scenario.

Brief Explanations:

To assess sample - appropriateness, we need to know more about the migraine - suffering population. Just knowing that volunteers are randomly selected without age, gender, or race restrictions isn't sufficient. We don't know if the sample characteristics match those of the overall population of migraine sufferers in terms of factors like frequency of migraines, co - existing conditions etc.