The estimated standard error for the sample is 6.
The definition of error is a mistake or the kingdom of being wrong. An instance of a blunder is when you upload 2+2 and get five. An example of a mistake is whilst a mistake leads you to come back to the incorrect collusion and you still agree with this incorrect conclusion.
The usual error of the suggestions, or simply well-known mistakes, shows how one of a kind the population suggests is possibly to be from a sample imply. It tells you ways tons the pattern suggests would range if you were to repeat a observe the usage of new samples from within an unmarried population.
Placed truly, the standard errors of the sample mean is an estimate of the way some distance the sample suggest is in all likelihood to be from the population mean, while the usual deviation of the sample is the degree to which individuals within the sample vary from the pattern mean.
Given :
Sample size, n = 36
Sample variance, s² = 1296
The estimated standard error can be obtained using the relation :
Standard Error, S. E = standard deviation / √n
Standard deviation, s = √1296 = 36
S.E = 36/√36
S.E = 36/6
S.E = 6
Hence, estimated standard error = 6
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