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Paired samples are the two samples of the observations with the characteristic feature with each of the observation in one sample have only one matching observation in the other sample. There are several techniques in which such samples can occur in the medical investigations. The first, self- pairing, happens when each subject serves as his or her own control, as in, for instance, therapeutic trials in which each of the subjects receives both the treatments, one on each of two separate occasions. Consequently, natural-pairing can occur particularly, for instance, in laboratory experiments involving litter-mate controls. Lastly artificial pairing might be taken in use by the investigator to match the two subjects in the pair on significant characteristics likely to be related to response variable.
Dr. Stallter has been teaching basic statistics for many years. She knows that 80% of the students will complete the assigned problems. She has also determined that among those who
Lorenz curve : Essentially the graphical representation of cumulative distribution of the variable, most often used for the income. If the risks of disease are not monotonically in
The Null Hypothesis - H0: There is no heteroscedasticity i.e. β 1 = 0 The Alternative Hypothesis - H1: There is heteroscedasticity i.e. β 1 0 Reject H0 if |t | > t = 1.96
Difference between tretment design and experimental design
Intercropping experiments are the experiments including growing two or more crops at same time on the same patch of land. The crops are not required to be planted nor harvested at
4-13. Students in a management science class have just received their grades on the first test. The instructor has provided information about the first test grades in some previou
Geometric distribution: The probability distribution of the number of trials (N) before the first success in the sequence of Bernoulli trials. Specifically the distribution is can
Lancaster models : The means of representing the joint distribution of the set of variables in terms of the marginal distributions, supposing all the interactions higher than a par
Mention the characteristics of Statistics. Explain any two applications of Statistics.
Hazard plotting is based on the hazard function of a distribution, this procedure gives estimates of distribution parameters, the proportion of units failing by the given time per
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