You use the sample mean as the estimate of the population mean; then as standard practice place confidence limits on the mean; most use 95%.
The standard deviation of the population. the standard deviation of the population.
Not a lot. After all, the sample sd is an estimate for the population sd.
Yes
If the population standard deviation is sigma, then the estimate for the sample standard error for a sample of size n, is s = sigma*sqrt[n/(n-1)]
the sample standard deviation
If the samples are drawn frm a normal population, when the population standard deviation is unknown and estimated by the sample standard deviation, the sampling distribution of the sample means follow a t-distribution.
Standard deviation in statistics refers to how much deviation there is from the average or mean value. Sample deviation refers to the data that was collected from a smaller pool than the population.
The sample standard error.
Sure it can. But in the survey business, the trick is to select your sample carefully so that they'll be equal, i.e. a sample that is accurately representative of the population.
What is the sample mean?
The standard deviation if the data is a sample from a population is 7.7115; if it is the population the standard deviation is 7.0396.
The standard deviation of the sample means is called the standard error of the mean (SEM). It quantifies the variability of sample means around the population mean and is calculated by dividing the population standard deviation by the square root of the sample size. The SEM decreases as the sample size increases, reflecting improved estimates of the population mean with larger samples.