Requesting more detailed explanation
Can you please help to eliminate the wrong answers in below:
When people who have not used ketamine, a narcotic drug, are tested for ketamine use, on average only 5 will test positive for every 100 tested. By contrast, of every 100 people who have used ketamine 99 will test positive. Thus, when a randomly chosen group of people is tested for ketamine use, the vast majority of those who test positive will be people who have used ketamine. A reasoning error in the argument is that the argument
1. Attempts to infer a value judgment from purely factual premises.
2. Attributes to every member of the population the properties of the average member of the population.
3. Fails To take into account what proportion of the population have useketamine.
4. Ignores the fact that some ketamine users do not test positive.
5. Advocates testing people for ketamine use when there is no reason to suspect that they have used ketamine.
Thanks,
Nikunj
Hmm…
As in quant, it is always beneficial to tabulate the data given (when too much data is given) —