In order to answer this question, you will need to provide the standard deviation.
To find the probability of it being windy given that it is not sunny, we can use conditional probability. The probability of it being not sunny is 70% (100% - 30% chance of sun). The probability of it being windy and not sunny is 40%. Therefore, the probability of it being windy given that it is not sunny is ( P(\text{Windy | Not Sunny}) = \frac{P(\text{Windy and Not Sunny})}{P(\text{Not Sunny})} = \frac{40%}{70%} \approx 0.57). Rounding to the nearest percent, the probability is approximately 57%.
The probability is very close to zero.
The probability is 1.The probability is 1.The probability is 1.The probability is 1.
Each member of the population has the same probability of being in the sample as any other. Equivalently, any set of members of the given sample size has the same probability of being selected as any other set.
There is no simple answer to the question because the children's genders are not independent events. They depend on the parents' ages and their genes. However, if you assume that they are independent events then, given that the probability of a boy is approx 0.52, the probability of the other two being boys is 0.2672.
To find the probability of it being windy given that it is not sunny, we can use conditional probability. The probability of it being not sunny is 70% (100% - 30% chance of sun). The probability of it being windy and not sunny is 40%. Therefore, the probability of it being windy given that it is not sunny is ( P(\text{Windy | Not Sunny}) = \frac{P(\text{Windy and Not Sunny})}{P(\text{Not Sunny})} = \frac{40%}{70%} \approx 0.57). Rounding to the nearest percent, the probability is approximately 57%.
In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.
The key feature is that each sample of the given size has the same probability of being selected as the sample. Equivalently, each unit in the population has the same probability of being included in the sample.
Every member in the population has the same probability of being in the sample.Or, equivalently, every set of the given sample size has the same probability of being selected.
This cannot be answered Until and Unless a certain set of numbers are given as Sample Space.
It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.It is a variable that can take a number of different values. The probability that it takes a value in any given range is determined by a random process and the value of that probability is given by the probability distribution function.
There are 7 days in a week. One of those is Sunday. Therefore the probability at any given time that tomorrow will be Sunday is 1/7.
P(A given B')=[P(A)-P(AnB)]/[1-P(B)].In words: Probability of A given B compliment is equal to the Probability of A minus the Probability of A intersect B, divided by 1 minus the probability of B.
all probabilities smaller than the given probability ("at most") all probabilities larger than the given probability ("at least")
The cumulative frequency or the probability of an observed value being less than or equal to a given value. By extension, it would also give the probability of a greater value being observed.
The probability is approx 0.3528
The probability of event A occurring given event B has occurred is an example of conditional probability.