Add the values of the variable for all elements in the sample and divide by the number of elements on the sample.
The sample mean may differ from the population mean, especially for small samples.
What is the sample mean?
The mean of the sample means remains the same as the population mean, which is 128. The standard deviation of the sample means, also known as the standard error, is calculated by dividing the population standard deviation by the square root of the sample size. Therefore, the standard error is ( \frac{22}{\sqrt{36}} = \frac{22}{6} \approx 3.67 ). Thus, the mean is 128 and the standard deviation of the sample means is approximately 3.67.
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.
You cannot from the information provided.
With a good sample, the sample mean gets closer to the population mean.
The population mean is the mean calculated over every member of the set of subjects being studied. It is usually not available and a survey is used to find an estimate for the population mean. The mean value of the variable in question, calculated from only the subjects included in the sample (or survey) is the sample mean. Provided some basic statistical requirements are met, the sample mean is a "good" estimate of the population mean.
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.
sample statistic
You calculate the actual sample mean, and from that number, you then estimate the probable mean (or the range) of the population from which that sample was drawn.
What is the sample mean?
The sample mean is an unbiased estimator of the population mean because the average of all the possible sample means of size n is equal to the population mean.
what information about the sample of a mean not provide
You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.
The population mean is the mean value of the entire population. Contrast this with sample mean, which is the mean value of a sample of the population.