The Sampling time means that at how much interval of time the continuous time signal is recorded
For example
If we have a simple square wave starting from 0 sec and ends at 5 sec with magnitude of 1 and let sampling time is Ts=0.5 second
Then the no. of samples obtained will be after each 0.5 second. So total number of samples will be 10.
Check it graphically and it will be more easy to understand.
By Armaghan Zafar
With a good sample, the sample mean gets closer to the population mean.
The variance decreases with a larger sample so that the sample mean is likely to be closer to the population 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.
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.
Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.
With a good sample, the sample mean gets closer to 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
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.
Propulsive Sampling Mean a sample which we can take randomly
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.
Standard error of the sample mean is calculated dividing the the sample estimate of population standard deviation ("sample standard deviation") by the square root of sample size.