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.
the mean is important in statistics because you will find out your average and can compare that mean to other things..
Translating a vector is sliding it parallel to the axes - without changing its magnitude or direction.
A vector already points, without needing an extra. I wonder if you mean "Poynting Vector" which shows the direction and magnitude of power flow in radiation.
the mean is affected by outliers
In statistics, this is the symbol for the "Variance"
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.
arithmetic mean
Mean is the average.
the mean is important in statistics because you will find out your average and can compare that mean to other things..
Why would wind direction be a vector? These quantities should be the same size. You could combine them into wind velocity, which would be a vector.
descriptive statistics
They are statistics of central tendency.
What do you mean by statistics? Re-Ask the question.
Translating a vector is sliding it parallel to the axes - without changing its magnitude or direction.
no
Statistics is the study of collecting , organizing , and interpreting data!