Mean

is the average of the numbers: a calculated "central" value of a set of numbers.

Retrieved From: http://www.mathsisfun.com/definitions/mean.html

Mean is the number when you add all the value and divide the total by the number of values.
Mean
Mean

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Another example:
13, 18, 13, 14, 13, 16, 14, 21, 20 = 9

13
18
14
13
16
14
21
20
142

142/9 = 15.78
mean= 15.78

[jeffril]
















Mean - by (Labid Khandaker)




"The mean (also know as average), is obtained by dividing the sum of observed values by the number of observations, n. Although data points fall above, below, or on the mean, it can be considered a good estimate for predicting subsequent data points."

Source:
https://controls.engin.umich.edu/wiki/index.php/Basic_statistics:_mean,_median,_average,_standard_deviation,_z-scores,_and_p-value





Woolf P., Keating A., Burge C., and Michael Y.. "Statistics and Probability Primer for Computational Biologists". Massachusetts Institute of Technology, BE 490/ Bio7.91, Spring 2004

Smith W. and Gonic L. "Cartoon Guide to Statistics". Harper Perennial, 1993.

Taylor, J. "An Introduction to Error Analysis". Sausalito, CA: University Science Books, 1982.




I like this definition of the mean because it provides a good explanation of the mean and why we can use the mean to predict " subsequent data points" in our data sets. It is simply the average of a data set. You add them all up and divide it by the number of values in your data set.







Mean -By (Labid Khandaker) - Video

Here is a great video that shows us how we can caculate our Mean or Averages in our Data Sets.





<iframe width="560" height="315" src="//www.youtube.com/embed/lBlnjzHVUYU" frameborder="0" allowfullscreen></iframe>
Source : http://youtu.be/lBlnjzHVUYU

By (Labid Khandaker LK)