Standard deviation is the square root of the variance. Therefore, the standard deviation is the sqrt 36 or 6.
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.
What is the sample mean?
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?
"http://wiki.answers.com/Q/What_is_the_estimated_population_mean_with_a_sample_of_36_and_the_standard_deviation_of_0.03"
square (25/36) = 5/6 = .833
64.
Use the range rule of thumb; range/4 or 36/4 = 9.
Brand A
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