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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.
Regression Lines It has already been discussed that there are two regression lines and they show mutual relationship between two variable . The regression line Yon X gives th
i m doing MBA in singapore and i want a good work. i want a data for 200 observations and then answers for some questions. and i need the data to be approved by our professor first
Cartogram or Mapograph: Statistical maps are also used to represent data like density of population indifferent states in the country or different countries in the world or th
Dr. Jim Mirabella UNIT EIGHT: DATA ANALYSIS PROJECT All Excel output should be copied into a single Word document where you must enter all of your responses to the questions below.
Examples of grouped, simple and frequency distribution data
A study was designed to investigate the effects of two variables - (1) a student's level of mathematical anxiety and (2) teaching method - on a student's achievement in a mathemati
(a) Elevation (m) 0 400 800 1200 1600 2000 2400 2800 3200 4000 480
Use the given information to find the P-value. The test statistic in a two-tailed test is z = 1.49 P-value = (round to four decimal places as needed)
Statistics Can Lead to Errors The use of statistics can often lead to wrong conclusions or wrong estimates. For example, we may want to find out the average savings by i
The Null Hypothesis - H0: The random errors will be normally distributed The Alternative Hypothesis - H1: The random errors are not normally distributed Reject H0: when P-v
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