If we include both 1 and 50 there are 50 numbers to choose from. The numbers that are divisible by 7 in that range are 7, 14, 21, 28, 35, 42,and 49. There are 7 of them.
So the answer would be 7 out of 50, which is 14%.
That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.
15 19
If the events can be considered independent then the probability is (0.7)4 = 0.24 approx.
Using the Poisson approximation, the probability is 0.0418
If you select 45 cards without replacement from a regular deck of playing cards, the probability is 1. For a single randomly selected card, the probability is 2/13.
In the list of all integers from negative infinity to positive infinity, there is a 50% chance that a randomly selected integer will be even.
Non probability sampling is where the samples are not selected randomly.
That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.
It is 1/40.
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.
15 19
The answer will depend on what the disease is.
10/12
85/500 = 17%
If the events can be considered independent then the probability is (0.7)4 = 0.24 approx.
The answer is 0.1586
It is approx 0.001824