0
What else can I help you with?
If mean equals 18.6 standard deviation equals 4 what is the z score?
The z score, for a value y, is (y - 18.6)/4
How much is 84 percentile equals mean plus 1 standard deviation or mean plus 1.4 standard deviation. Can you give me reference also please?
The cumulative probability up to the mean plus 1 standard deviation for a Normal distribution - not any distribution - is 84%. The reference is any table (or on-line version) of z-scores for the standard normal distribution.
What is the z score of x equals 108?
You need the mean and standard deviation in order to calculate the z-score. Neither are given.
What is the z score of x equals 124 The mean is 100 and the standard deviation is 8?
It is (124 - 100)/8 = 24/8 = 3
Why do deviation in a data set sum to zero?
They don't necessarily. Deviations from the median in an asymmetric data set will not sum to 0. The mean is the sum of observations divided by the number of observations and some simple algebra will show that the sum of deviations from this equals 0. Unfortunately, the browser used by this site is useless for showing such work.
Is the standard deviation of the data values in a sample is 17 what is the variance of the data values?
The variance of a set of data values is the square of the standard deviation. If the standard deviation is 17, the variance can be calculated as (17^2), which equals 289. Therefore, the variance of the data values in the sample is 289.
If the Mean equals 100 variance equals 40 and sample size equals 10 what is the standard deviation?
6.3
Can you please tell me the variance and the standard deviation for n equals 80 and p equals 0.3?
For a binomial probability distribution, the variance is n*p*q which is 80*.3*.7 = 16.8. The standard deviation is square root of the variance which is 4.099; rounded is 4.1. The mean for a binomial probability distribution is n*p or 80*.3 or 24.
Can standard deviation equals to variance?
The variance is the square of the standard deviation.This question is equivalent tocan s = s^2The answer is yes, but only in two cases.If the standard deviation is 1 exactly, then so is the variance.If the standard deviation is 0 exactly, then so is the variance.If the standard deviation is anything else, then it is not equal to the variance.You are not likely to find these special cases in practical problems, so from a practical sense, you should think that they are generally not equal.
If the mean equals 500 and the standard deviation equals 100 Bob scored at 2nd standard deviation-what was his score?
Bob scored 300 or 700.
What sample size is needed to disprove the hypothesis that the probability of outcome A equals 0.25?
The answer depends on what population characteristic A measures: whether it is mean, variance, standard deviation, proportion etc. It also depends on the sampling distribution of A.
What would the Z score be if Z equals 0 and Z equals -1.41?
1.41
If mean equals 18.6 standard deviation equals 4 what is the z score?
The z score, for a value y, is (y - 18.6)/4
What numbers have a mean of 5 and standard deviation of 1?
To have a mean of 5 and a standard deviation of 1, a set of numbers can be constructed such that the average of the numbers equals 5, while their spread from that average is consistent with a standard deviation of 1. For example, the numbers 4, 5, and 6 meet these criteria: their mean is (4 + 5 + 6) / 3 = 5, and the standard deviation is calculated to be 1. Other combinations of numbers can also satisfy these conditions, as long as they maintain the same mean and standard deviation.
Assume that X has a normal distribution with mean equals 15.2 and standard deviation equals 0.9 What is the probability that X is greater than 16.1?
0.8413
How much is 84 percentile equals mean plus 1 standard deviation or mean plus 1.4 standard deviation. Can you give me reference also please?
The cumulative probability up to the mean plus 1 standard deviation for a Normal distribution - not any distribution - is 84%. The reference is any table (or on-line version) of z-scores for the standard normal distribution.
N equals 36 with a population mean of 74 and a mean score of 79.4 with a standard deviation of 18?
Can someone help me find the answer for a sample n=36 with a population mean of of 76 and a mean of 79.4 with a standard deviation of 18?
