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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.
Make a decision about the given claim. Use only the rare event rule, and make subjective estimates to determine whether events are likely. For example, if the claim is that a coi
(a) Elevation (m) 0 400 800 1200 1600 2000 2400 2800 3200 4000 480
Of the 6,325 kindergarten students who participated in the study, almost half or 3,052 were eligible for a free lunch program. The categorical variable sesk (1 == free lunch, 2 = n
Characteristics of Index Number On the analysis of various definitions of index number the following may be its characteristics: 1. Expressed in Number : Index number
The investor has constant wealth 1 and is o?ered to invest in shares of a project that either gains 3=2 or loses 1 with equal probabilities. Therefore, if the investor obtains sha
Suppose the money supply process is now represented by the following function: where m measures the sensitivity of money supply with respect to the interest rate. (i) Us
what is non linear modl
Consider an MBA program as a processing network where the flow unit consists of a student in the program. Suppose the organizations that hire and promote MBAs are considered to be
Cluster Sampling This method is also known as multi stage sampling .Under this method random selection is made of the ultimate or final units from a given stratum. The sampling
As we stated above, we start factor analysis with principal component analysis, but we quickly diverge as we apply the a priori knowledge we brought to the problem. This knowled
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