# Statistical Meaning Learning

Statistics is the collection of enormous masses of numerical information that is summarized and then analyzed for the point of making decisions; that is, the use of past information is used to predict future actions.

In other words, statistics is a scheme or technique which will enable us to approach a problem of formative a course of action in a systematic manner in order to reach the desired results. The statics are most commonly used to find the mean and variability of population.

## statistical meaning learning:

Uses of Statisticals:

MEAN:

One of the most use of statistics is to find the mean value of a set of measurements. The term "Mean" is used to state the "average" value of a set of data. The mean also found  in the same way as the "average" of a group of numbers is determined.

The mean of a set of N measurements, Xl, X2, X3, ..., XN is equal to the sum of the measurements divided by the number of data points, N. Mathematically, this is expressed by the following equation:

Mean   x= (1/n) i=1n xi

where,

x = the mean,

n = the number of values (data),

x1 = the first data point, x2 = the second data point,....xi = the ith data point,

xi = the ith data point, x1 = the first data point, x2 = the second data point, etc.

The symbol Sigma (`sum` ) is used to indicate summation, and i = 1 to n indicates that the values of xi from i = 1 to i = n are added. The su m of the mean calculated is divided by the number.

Variance:

We have discussed the averages and the means of groups of values. While the mean is a useful tool in describing a characteristic of a set of numbers, sometimes it is valuable to obtain information about the mean. There is a subsequent number that indicates how representative the mean is of the data.

Variance=  x- xi.

## statistical meaning learning:

Example1:

Find the mean deviation about the mean for the following data:

12, 6, 18, 15, 12, 6, 20, 16

Solution:

We proceed step-wise and get the following:

Step 1 Mean of the given data is `barx`

`barx`   = 12+6+18+15+12+6+20+16/8      = 105/8= 13.125.

Step 2 The deviations of the respective observations from the mean x, i.e., xi – x are

12–11,6–11,18–11,15–11,12–11,6–11,20–11,16–11,

or 1,–5,7,4,1,–5,9,5

Step 3 The absolute values of the deviations, i.e.,|xix |are

1,5,7,4,1,5,9,5

Step 4 The required mean deviation of the mean is

M.D. ( `barx`  ) = `sum` 8 i-1 |xi-x| / 8

=`(1+5+7+4+1+5+9+5)/8` = `37/8` = 4.625.