0.8413
Yes. It can have any non-negative value.
It is not possible to have a probability greater than 1. All probabilities are between 0 and 1, inclusive.
it depends on how many numbers are on the number cube. if it only goes to 6, then the probability is 1/6. if it goes to 8 then the probability is 2/8. and so on and so on...
'At least' means equal to or greater than. This meaning is not restricted to maths; it is one of the common everyday meanings of the phrase.So if you have a question which, for example, tells you to calculate the probability of getting at least one head when a coin is flipped twice then it means:What is the probability of getting one or more heads when a coin is flipped twice.
1 - (2/3)4 = 1 - 16/81 = 65/81 ≈ 80.25%
The answer depends on greater standard deviation that WHAT!
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
The normal distribution and the t-distribution are both symmetric bell-shaped continuous probability distribution functions. The t-distribution has heavier tails: the probability of observations further from the mean is greater than for the normal distribution. There are other differences in terms of when it is appropriate to use them. Finally, the standard normal distribution is a special case of a normal distribution such that the mean is 0 and the standard deviation is 1.
Yes - but the distribution is not a normal distribution - this can happen with a distribution that has a very long tail.
A standard normal distribution has a mean of zero and a standard deviation of 1. A normal distribution can have any real number as a mean and the standard deviation must be greater than zero.
.0401
It is 0.1587
a) T or F The sampling distribution will be normal. Explain your answer. b) Find the mean and standard deviation of the sampling distribution. c) We pick one of our samples from the sampling distribution what is the probability that this sample has a mean that is greater than 109 ? Is this a usual or unusual event? these are the rest of the question.
Standard deviation can be greater than the mean.
Yes. The normal distribution is used to approximate a binomial distribution when the sample size (n) times the probability of success (p), and the probability of failure (q) are both greater than or equal to 5. The mean of the normal approximation is n*p and the standard deviation is the square root of n*p*q.
It is the value that is one standard deviation greater than the mean of a Normal (Gaussian) distribution.
0.0375