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Sample standard deviation?
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.
A population has mean 128 and standard deviation 22. find the mean and the standard deviation of mean for sample of size 36?
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 does the sample standard deviation best estimate?
The standard deviation of the population. the standard deviation of the population.
Can a standard deviation of a sample be equal to a standard deviation of a population?
Yes
What does it mean to have a sample with a standard deviation of zero?
A sample with a standard deviation of zero indicates that all the values in that sample are identical; there is no variation among them. This means that every observation is the same, resulting in no spread or dispersion in the data. Consequently, the mean of the sample will equal the individual values, as there is no deviation from that mean.
How do i find sample standard deviation from population standard deviation?
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)]
How do you find the sample size when given the standard deviation and the mean with a sample value?
You cannot from the information provided.
What is the sample standard deviation of 27.5?
A single observation cannot have a sample standard deviation.
Sample standard deviation?
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.
A population has mean 128 and standard deviation 22. find the mean and the standard deviation of mean for sample of size 36?
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 does the sample standard deviation best estimate?
The standard deviation of the population. the standard deviation of the population.
Can a standard deviation of a sample be equal to a standard deviation of a population?
Yes
How does one calculate the standard error of the sample mean?
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.
What happens if you estimate population standard deviation with the sample standard deviation?
Not a lot. After all, the sample sd is an estimate for the population sd.
What is the statistic that is used to estimate a population standard deviation?
the sample standard deviation
Does the distribution of sample means have a standard deviation that increases with the sample size?
No, it is not.
What does it mean to have a sample with a standard deviation of zero?
A sample with a standard deviation of zero indicates that all the values in that sample are identical; there is no variation among them. This means that every observation is the same, resulting in no spread or dispersion in the data. Consequently, the mean of the sample will equal the individual values, as there is no deviation from that mean.
