The formula for calculating the standard error (or some call it the standard deviation) is almost the same as for the population; except the denominator in the equation is n-1, not N (n = number in your sample, N = number in population). See the formulas in the related link.
The standard deviation of the population. the standard deviation of the population.
Yes
No.
The true / real standard deviation ("the mean deviation from the mean so to say") which is present in the population (everyone / everything you want to describe when you draw conclusions)
They are statistical measures. For a set of observations of some random variable the mean is a measure of central tendency: a kind of measure which tells you around what value the observations are. The standard deviation is a measure of the spread around the mean.
The standard deviation of the population. the standard deviation of the population.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
Yes
No.
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 sample standard deviation
If there is zero deviation all the observations are 50.
The standard deviation of height in the US population is approximately 3 inches.
The standard deviation of a set of data is a measure of the spread of the observations. It is the square root of the mean squared deviations from the mean of the data.
Yes.
There is no actual "smallest" observation - a standard deviation of zero means that all 100 of the observations had to be 46.
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