Square the standard deviation to obtain the variance. The variance is 62 or 36.
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
Every roll of a fair die has a one in two chance of being even or odd.
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.
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Square the standard deviation to obtain the variance. The variance is 62 or 36.
Variance is 362 or 1296.
Variance = (std dev) ^2 = 36^2 = 1296.
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 sample mean?
square (25/36) = 5/6 = .833
"http://wiki.answers.com/Q/What_is_the_estimated_population_mean_with_a_sample_of_36_and_the_standard_deviation_of_0.03"
64.
Brand A
Use the range rule of thumb; range/4 or 36/4 = 9.
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.
Putting the data into excel, the std dev for the sample is 6.20