The numerical average of a set of data is called x-bar. This is the sum of all values divided by the number of values.
The means of the two variable, (x-bar, y-bar)
To find the y-intercept, you need to calculate the gradient, b. Then a, the y-intercept, satisfies the equationy-bar = a + b*x-barwhere x-bar and y-bar are the means of the two variables.
error bar can be drawn for statistical comparison of bars and graphs.
Usually mu is the symbol for the mean of a probability distribution. It is sometimes used as the average of a dataset (also called the mean of the dataset), although I prefer to use "x bar".
(x value) - average
The numerical average of a set of data is called x-bar. This is the sum of all values divided by the number of values.
_x?That's the average.sum of all x divided by nx
The means of the two variable, (x-bar, y-bar)
Greek letters are used for population parameters. Eg: µ is the population mean English letters are used for sample statistics. Eg: x-bar is the sample mean
d bar, d with a bar over it
μ is the symbol for the population mean in statistics. fyi and related but not necessary for the above answer: the sample mean is , enunciated by saying "x" bar. hope this helped. Citation : http://en.wikipedia.org/wiki/Arithmetic_mean
error bar
In statistics, letter such as; a,..x..,z, is a variable used to represent an unknown value.
To find the y-intercept, you need to calculate the gradient, b. Then a, the y-intercept, satisfies the equationy-bar = a + b*x-barwhere x-bar and y-bar are the means of the two variables.
if the bar between the x's means multiply... x2 is a binomial because if you have an x squared this indicates that... x2 + 0x + 0 which is a binomial expression
z = (x - mean of x)/ std dev of x I thought this website was pretty good: http://www.jrigol.com/Statistics/TandZStatistics.htm