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Meaning of Interpolation and Extrapolation
Interpolation is a method of estimating the most probable missing figure on the basis of given data under certain assumptions. On the other head if such figure is required to be estimated for the future period outside the series, it is called extrapolation .In the words of Hirish. Interpolation is the estimating of a most likely estimate under given conditions. The technique of estimating a past figure is termed as interpolation , while estimating for future is called extrapolation, W.M. Harper has defined as interpolation consists in reading a value which lies between two extreme points. Extrapolation means reading a values that lies outside the two extreme points.
Sample Standard Deviation So far, we discussed the population standard deviation. Now, let us switch to sample standard deviation(s) that is analogous to the population stand
There are two types of drivers, high-risk drivers with an accident probability of 2=3 and low risk drivers with an accident probability of 1=3. In case of an accident the driver su
To use Linear Programming for solving the following inequalities. Following Twin Conditions (as mandated by the Indian Regulatory Authority) Twin Condition I for TV Broadcasters
Scenario : Mrs dick's year 1s and 2s carried out a level-one science investigation to explain the changes in a particular plant over a period of time. As part of the investigation
Multivariate analysis involves a set of techniques to analyse data sets on more than one variable. Many of these techniques are modern and often involve quite sophisticated use of
Application of the chi Square Test
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Standard Error The measure of reliability of the estimating equation that we have developed is given by standard error of estimate. The standard error of estimate represented b
Henry Kaiser suggested a rule for selecting a number of components m less than the number needed for perfect reconstruction: set m equal to the number of eigenvalues greater than I
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