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What is point estimation?

In statistics, point estimation is the process of providing a number or vector (which could be an infinite dimensional vector such as a function) that is stochastically 'close' in some sense to the actual value of that number or vector. For example, suppose that a population of people has a known mean height of 180 cm and an unknown standard deviation. Point estimation could be applied to a sample from this population to obtain an estimate of the standard deviation of its heights.


What are the assumptions of standard deviation?

The standard deviation is the standard deviation! Its calculation requires no assumption.


What does the sample standard deviation best estimate?

The standard deviation of the population. the standard deviation of the population.


What is standard deviation of 155.45?

The standard deviation is 0.


If quartile deviation is 24. find mean deviation and standard deviation?

Information is not sufficient to find mean deviation and standard deviation.


What is the relationship between standard deviation and variance?

Standard deviation is the square root of the variance.


What is the standard deviation of a standard normal distribution?

The standard deviation in a standard normal distribution is 1.


What is the difference between standard error of mean and standard deviation of means?

Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.


Why do we need the standard deviation?

The standard deviation is a measure of the spread of data.


What is the standard deviation of 9?

You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.


Difference Standard Deviation of a portfolio?

difference standard deviation of portfolio


Can a standard deviation of a sample be equal to a standard deviation of a population?

Yes