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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.
Lifts usually have signs indicating their maximum capacity. Consider a sign in a lift that reads "maximum capacity 1400kg or 20 persons". Suppose that the weights of lift-users are
Calculation for Discrete Series or Ungrouped Data The formula for computing mean is = where, f = fr
case study in heat power engineering
The total number of overtime hours (in 1000s) worked in a large steel mill was recorded for 16 quarters, as shown below. Year Quarter Overtime hour
This probability rule determined by the research of the two mathematicians Bienayme' and Chebyshev, explains the variability of data about its mean when the distribution of the dat
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Correspondence Analysis (CA) is a generalization of PCA to contingency tables. The factors of correspondence analysis give an orthogonal decomposi:ion of the Chi- square associated
ogives graph
Assumptions in ANOVA The various populations from which the samples are drawn should be normal and have the same variance. The requirement of normality can be discarded if t
Given a certain population there are various ways in which a sample may be drawn from it. The chart below illustrates this point: Figure 1 In Judgem
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