As a first attempt at estimating the sample mean
where and x are Hansen-Hurwitz estimators modified to the stratified sampling for population means X and Y respectively, and ( yh(1) , xh(1) ), and ( yh( 2) r , xh( 2) r ) are the sample means
for hth stratum based on nh(1) and nh(2)r units respectively, and xs t L Ph xh is the sample mean
based It is to be pointed out that YRd is modified form of Tabasum and Khan  to the stratified sampling.
The bottom window displays the current probability distribution of the sample means
as a histogram, the location of the next sample mean
(should the same as the location of the sample mean
in the top window), the expected normal distribution according to the CLT (the blue bell), as well as the actual and expected means and standard deviations.
The LLN ensures that as the number of random samples collected from a probability distribution is increased, the sample mean
converges to the true population mean, and the CLT guarantees that the sampling distribution of the mean will be Gaussian, provided there are a sufficient number of independent observations.
is not equal to population mean but is a good estimate of it.
When this is done, sample mean
rent is a more accurate estimate of population mean rent.
to become familiar with how to calculate a sample mean
Most analyses of reaction time (RT) data are conducted by using the statistical techniques with which psychologists are most familiar, such as analysis of variance on the sample mean
With the approach presented in this paper, they see the actual population values of the parent distribution, the values in each sample selected, and the sample means
calculated from each sample.
Table 1 Descriptive statistics for the sample means
for the DB, SB and OEA models--sample of size 100 Statistics Models SB DB AOE Mean 68.
This is evident from the frequency distributions and the sample means
They were least likely to Use Standardized Test Norms or to Seek Objective Assessments, and they ranked at least one half a SD below the sample means
for Demonstrates Cognitive Complexity, Verbalizes Awareness of Thought Process, and Uses Causal Reasoning Model.