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Sequential Sampling
Under this method, a number of sample lots are drawn one after another from a universe depending on the results of the earlier samples. Such sampling is generally adopted in statistical quality contral. If the first sample is clearly acceptable, no new sample is drawn on the other hand if it is completed unacceptable the lot is rejected. However if the initial oft is of a doubtful marginal character falling in between acceptance and rejection limits, a second on final acceptance or rejection the lot. Such sampling can be based on any of the random or non-random methods of selection.
As one of the oldest multivariate statistical methods of data reduction, Principal Component Analysis (PCA)simplifies a dataset by producing a small number of derived
The following table shows the results of fitting a linear regression model of starting annual salaries on a constant, GPA (4 point scale), and a variable (Metrics =1) indicating wh
Histogram: It is generally used for charting continuous frequency distribution. In histogram, data are plotted as a series of rectangle one over the other. Class intervals
Chebychev inequality
Disadvantages For calculating median it is necessary to arrange the data; other averages do not need any arrangement. Since it is a positional average, its value is not d
Jocko's Garage has been accused of insurance fraud. Data on estimates made by Jocko and another garage were obtained for 10 damaged vehicles (available in 'jockogarage.txt'). Here
The cost of living index number on a some data was 200. From the base period, the percentage enhances in prices were-Rent Rs 60, clothing Rs 250, Fuel and Light Rs 150 and Miscella
The first step in this case is to ensure that you are adequately clear on the General Linear Model and its relationship to both ANOVA and regression. The distinction is approxim
There are two diagnostic tests for a disease. Among those who have the disease, 10% give negative results on the first test, and independently of this, 5% give negative results on
whats mean by Double Exponential Smoothing
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