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in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's
We would need to know what sample you are referring to in order to answer this question.
Count up the number of obseravtions made on the experimental units. That is the sample size.
Density of a substance = (mass of a sample of the substance) divided by (volume of the same sample)
i dont no the answer
in order to calculate the mean of the sample's mean and also to calculate the standard deviation of the sample's
We would need to know what sample you are referring to in order to answer this question.
See related link.
Count up the number of obseravtions made on the experimental units. That is the sample size.
Density of a substance = (mass of a sample of the substance) divided by (volume of the same sample)
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.
i dont no the answer
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.
It will be invaluable if (when) you need to calculate sample correlation coefficient, but otherwise, it has pretty much no value.
The core sample is a cylinder. The volume of any cylinder is (pi) x (radius)2 x (length).
Here's how you do it in Excel: use the function =STDEV(<range with data>). That function calculates standard deviation for a sample.
Volume of a sample = (its mass) divided by (its density)