Answer:
a) 16.59%
b) $207.35
Step-by-step explanation:
you can check it
Answer:
- probability of a false positive test result = 0.010
- The non-drug user will suffer from the result since it is positive
Step-by-step explanation:
The probability that the test result is a false positive
total number of cases studied (n) = 38 + 12 + 19 + 29 = 98
number of false positive cases ( x ) = 1
probability of false positive result = x / n = 1/98 = 0.010
The non-drug user will suffer from the result since it is positive
<h3>
Answer: B) Experiment</h3>
Reason:
Whenever you have two groups like this, one labeled the treatment group and the other the control group, we have an experiment gong on.
The treatment group gets the actual medication that is being tested. The control group gets a fake medication, aka placebo. Usually a placebo is meant for humans because it's more of a psychological factor. With cats, it likely won't affect them. However, such practices of having two groups like this is standard no matter what group of subjects you're testing.
The idea is that if the treatment group has better results compared to the placebo group, then it's likely the medication works.
We know f(x)=5x+1. Plug in f(x) in the g(x) function.
We get
Distribute the 2 to 5x and 1.
Simplify to get
Now, we plug in -1 for x.
Answer:
they deleted my answer :(
Step-by-step explanation:
