The parameters of the underlying distribution, plus the standard error of observation.
It may be an outlier, but if not, it is probably the more interesting feature of the observations.
the mean is important in statistics because you will find out your average and can compare that mean to other things..
25 x36 = 900 13 x 32 = 416 13 x 40 = 520 ----- 936 936-900 = 36 (13th observation)
No. One observation will normally get you onevalue, not a set of values. Also, to be precise, the observation is the act of observing; the value is the result of the observation, not the observation itself.
in statistics, summation denoted by upper case sigma, is used to find the sum of a series of observation in a particular variable.
An indirect observation is a research technique making use of pre-recorded behaviors. This involves things like statistics tables of reactions of materials, or other such records.
casual observation
something which you can directly see,in science. in statistics it would be something you can descibe or attach a number to. for example if you were to say there are 50people on wikianswers that would be an observation.
The parameters of the underlying distribution, plus the standard error of observation.
In statistics, this is the symbol for the "Variance"
It may be an outlier, but if not, it is probably the more interesting feature of the observations.
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..
25 x36 = 900 13 x 32 = 416 13 x 40 = 520 ----- 936 936-900 = 36 (13th observation)
In statistics, Xi represents an individual data point or observation within a dataset. It is commonly used to denote the ith data point in a sequence of data. The subscript i is used to differentiate between different data points in the dataset, with i typically ranging from 1 to n, where n is the total number of data points. Xi is a fundamental concept in statistical analysis and is essential for calculating various statistical measures and conducting data analysis.
Qualitative