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Set of 25 numbers has standard deviation 6 then it's variance is?
Square the standard deviation to obtain the variance. The variance is 62 or 36.
When two dice are thrown let X be the larger of the two numbers on the two throws find the probability distribution mean and variance of X?
The probability distribution is P(X = 1) = 1/36 P(X = 2) = 3/36 P(X = 3) = 5/36 P(X = 4) = 7/36 P(X = 5) = 9/36 P(X = 6) = 11/36 P = 0 otherwise. Mean(X) = 4.4722 Variance = 1.9715
A fair die is rolled 36 times What is the standard deviation of the even number 2 4 or 6 outcomes?
Every roll of a fair die has a one in two chance of being even or odd.
How do you find the variance 415 10 8 33 25 36 66 63 50 64 49 40?
First mean is calculated.Then calculate deviations from the mean.Then the deviations are squared.Then the squared deviations are summed up.Finally this sum is divided by number of items for which the variance is being calculated. For a population, it is by the number of values, in this case 12. If it is a sample, then we divide by one less, which is 11,For these figures, the variance for the population is 11069.24306. If it is a sample, it is 12075.53788 as the result.
What is the standard deviation for the following numbers 100 76 68 80 56 64 72 52 84 40 60 72 56 64 36 52 76 44 60 80 56 48 68 76 84?
75.5 approx.75.5 approx.75.5 approx.75.5 approx.
Set of 25 numbers has standard deviation 6 then it's variance is?
Square the standard deviation to obtain the variance. The variance is 62 or 36.
Suppose the standard deviation is 36 Find the variance?
Variance is 362 or 1296.
What is the variance If the standard deviation of some data is 36?
Variance = (std dev) ^2 = 36^2 = 1296.
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?
What is the estimated population mean with a sample of 36 and a standard deviation of 0.03?
What is the sample mean?
A population has mean 128 and standard deviation 22. find the mean and the standard deviation of mean for sample of size 36?
The mean of the sample means remains the same as the population mean, which is 128. The standard deviation of the sample means, also known as the standard error, is calculated by dividing the population standard deviation by the square root of the sample size. Therefore, the standard error is ( \frac{22}{\sqrt{36}} = \frac{22}{6} \approx 3.67 ). Thus, the mean is 128 and the standard deviation of the sample means is approximately 3.67.
Lets assume you have taken 100 samples of size 36 each from a normally distributed population Calculate the standard deviation of the sample means if the populations variance is 25?
square (25/36) = 5/6 = .833
What is the estimated population mean with a sample of 36 and the standard deviation of 0.03?
"http://wiki.answers.com/Q/What_is_the_estimated_population_mean_with_a_sample_of_36_and_the_standard_deviation_of_0.03"
Suppose that a population that a population has mean equals 64 and standard deviation equals 18. A sample of size 36 is selected. What is the mean of the sampling distribution of means?
64.
Suppose lifetime of certain type of car batteries are normally distributed. Brand A has a mean lifetime of three years and a standard deviation of six months. Brand B has a mean lifetime of 36 months and a standard deviation of four months?
Brand A
If the range of a set of data is 36 then a reasonable estimate of the standard deviation is?
Use the range rule of thumb; range/4 or 36/4 = 9.
What is the estimd population mean of sample 36 mean weight 3.01 standard diviation 03?
The answer will depend on the population mean of what variable? Height?, length or is it simply weight. If it is weight, the estimated (not estimd) population mean is 3.01 units: the same as the sample mean. The standard deviation (not diviation) is irrelevant.The answer will depend on the population mean of what variable? Height?, length or is it simply weight. If it is weight, the estimated (not estimd) population mean is 3.01 units: the same as the sample mean. The standard deviation (not diviation) is irrelevant.The answer will depend on the population mean of what variable? Height?, length or is it simply weight. If it is weight, the estimated (not estimd) population mean is 3.01 units: the same as the sample mean. The standard deviation (not diviation) is irrelevant.The answer will depend on the population mean of what variable? Height?, length or is it simply weight. If it is weight, the estimated (not estimd) population mean is 3.01 units: the same as the sample mean. The standard deviation (not diviation) is irrelevant.
