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Growth curve analysis is the general term for methods dealing with development of the individuals over time. A classic instance includes recordings made on a group of children, say, of height or weight at the specific ages. The plot of the former against the latter for each child provides the individual's growth curve. Conventionally low-degree polynomials are ?tted to such type of curves, and the resulting parameter estimates used for the inferences such as comparisons between boy and girls.
Imprecise probabilities is a n approach used by soft techniques in which uncertainty is represented by the closed, convex sets of probability distributions and the probability of
Mention the characteristics of Statistics. Explain any two applications of Statistics.
Clustered data : The term applied to both the data in which the sampling units are grouped into the clusters sharing some common feature, for instance families or geographical reg
Minimization is the method or technique for allocating patients to the treatments in clinical trials which is usually the acceptable alternative to random allocation. The procedur
An investor with a stock portfolio sued his broker, claiming that a lack of diversification in his portfolio had led to poor performance. The data, shown below, are the rates of re
Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible
Jonckheere Terpstra test is the test for detecting particular types of departures from the independence in a contingency table in which both the row and column categories contain
Can I use ICC for this kind of data? Wind Month Day Temp(DV) 7.4 5 1 67 8 5 2 72 12.6 5 3 74 11.5 5 4 62 I am taking temp as the dependent variable. There are many more values.
Records on the computer manufacturing process at Pratt-Zungia Limited show that the percentage of defective computers sent to customers has been 5% over the last few years. Shipme
K-means cluster analysis is the method of cluster analysis in which from an initial partition of observations into K clusters, each observation in turn is analysed and reassigned,
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