9 out of 30, which simplifies to 3 out of 10.
Non probability sampling is where the samples are not selected randomly.
The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.
The answer will depend on what the disease is.
85/500 = 17%
It is approx 0.001824
Non probability sampling is where the samples are not selected randomly.
1/3
The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.
The probability that a single person would like at least ONE flavour - is 9/10 * * * * * No. 350 liked only Vanilla 250 liked Vanialla and Chocolate 50 liked only Chocolate That makes 650 [the remaining 350 did not like either]. Therefore the probability that a randomly selected person likes at least one of the two tastes is 650/1000 or 65%
10/12
The answer will depend on what the disease is.
15 19
85/500 = 17%
If the events can be considered independent then the probability is (0.7)4 = 0.24 approx.
It is approx 0.001824
The answer is 0.1586
There is not enough information about the the distribution of the number of people known by each individual - nor the averages. It is therefore no possible to give an answer any more precise than "the probability will be infinitesimally small".