0.25 * 0.25 = 0.0625
Proportion is the probability of a selected sample. probability is the true probability of all cases. If this is not what you are looking for then please specify.
The probability is approx 15/16.
The probability is 1.
Until the letter is selected, it is a variable. Immediately after it is selected, the outcome is no longer a variable but a constant.
If the events can be considered independent then the probability is (0.7)4 = 0.24 approx.
If only one card is selected the probability is 12/13.If only one card is selected the probability is 12/13.If only one card is selected the probability is 12/13.If only one card is selected the probability is 12/13.
In probability sampling,every item in the population has a known chance of being selected as a member.In non-probability sampling, the probability that any item in the population will be selected for a sample cannot be determined.
Non probability sampling is where the samples are not selected randomly.
The probability is 10 percent.
Proportion is the probability of a selected sample. probability is the true probability of all cases. If this is not what you are looking for then please specify.
The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.The probability, when the 2-dice total is 5, that one of the two dice shows a two is 1/2. The probability that that die is selected is 1/4.
The probability is approx 15/16.
The probability is 1.
Until the letter is selected, it is a variable. Immediately after it is selected, the outcome is no longer a variable but a constant.
If the events can be considered independent then the probability is (0.7)4 = 0.24 approx.
probability = 2/7 to be exact, 28/97 (about 28.87%)
Let us assume that there are exactly 365 days in a year and that birthdays are uniformly randomly distributed across those days. First, what is the probability that 2 randomly selected people have different birthdays? The second person's birthday can be any day except the first person's, so the probability is 364/365. What is the probability that 3 people will all have different birthdays? We already know that there is a 364/365 chance that the first two will have different birthdays. The third person must have a birthday that is different from the first two: the probability of this happening is 363/365. We need to multiply the probabilities since the events are independent; the answer for 3 people is thus 364/365 × 363/365. You should now be able to solve it for 4 people.