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Square the standard deviation and you will have the variance.
The probability of Z from minus infinity to -1.96 is 0.025. Therefore the probability of Z greater than -1.96 is 1 - 0.025 or 0.975 or 97.5%.
From the related link, you can read directly the probability that Z is less than 1.51 is 0.9345.
Given a set of numbers, and its mean, we can find the difference between each of the numbers and the mean. If we take the mean of these differences, the result is called the mean deviation of the numbers.
49.30179172 is the standard deviation and 52 is the mean.
The mean and standard deviation do not, by themselves, provide enough information to calculate probability. You also need to know the distribution of the variable in question.
Square the standard deviation and you will have the variance.
The probability of Z from minus infinity to -1.96 is 0.025. Therefore the probability of Z greater than -1.96 is 1 - 0.025 or 0.975 or 97.5%.
From the related link, you can read directly the probability that Z is less than 1.51 is 0.9345.
The Poisson distribution is a discrete distribution, with random variable k, related to the number events. The discrete probability function (probability mass function) is given as: f(k; L) where L (lambda) is the mean and square root of lambda is the standard deviation, as given in the link below: http://en.wikipedia.org/wiki/Poisson_distribution
* * * * *No it is not.Step 1: Calculate the mean = sum of observations/number of observations.Step 2: For each observation, x, calculate deviation = x - mean.Step 3: Sum together the NON_NEGATIVE values of the above deviations.Step 4: Divide by the number of observations.That is the mean absolute deviation, not the rubbish given below!
Given a set of numbers, and its mean, we can find the difference between each of the numbers and the mean. If we take the mean of these differences, the result is called the mean deviation of the numbers.
49.30179172 is the standard deviation and 52 is the mean.
Assuming the returns are nomally distributed, the probability is 0.1575.
You need the mean and standard deviation in order to calculate the z-score. Neither are given.
The probability of a phone being answered in 2 minutes, given that the average time is 3 minutes, is not specified in the information given. More details or specific probabilities are needed to determine the answer.
An electron's location or momentum, but not both.