The sample mean may differ from the population mean, especially for small samples.
What is the sample mean?
what information about the sample of a mean not provide
The same basic formula is used to calculate the sample or population mean. The sample mean is x bar and the population mean is mu. Add all the values in the sample or population and divide by the number of data values.
The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.The answer depends on how the sample is selected. If it is a simple random sample, of size n, then it is distributed approximately normally with the same mean as the population mean.
N is neither the sample or population mean. The letter N represents the population size while the small case letter n represents sample size. The symbol of sample mean is x̄ ,while the symbol for population mean is µ.
μ is the symbol for the population mean in statistics. fyi and related but not necessary for the above answer: the sample mean is , enunciated by saying "x" bar. hope this helped. Citation : http://en.wikipedia.org/wiki/Arithmetic_mean
With a good sample, the sample mean gets closer to the population mean.
the sample on which the symbol decision is made
n
It is r.
The Symbol p that denotes sample proportion.
Difference between sample means
The sample mean may differ from the population mean, especially for small samples.
The variance decreases with a larger sample so that the sample mean is likely to be closer to the population mean.
s is the sample standard deviation. it is computed by taking the square root of: sum(x-mean)2/n-1
sample statistic