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Designs which permits two or more questions to be addressed in the investigation.
The easiest factorial design is one in which each of the two treatments or interventions are present or absent, so that subjects are splitted into four groups; those receiving neither of the treatment, those having the first treatment only, those having the second treatment only and those receiving both the treatments. Such designs enable possible interactions between the factors to be investigated. A very significant special case of the factorial design is that where each of k factors of interest contains only two levels; these are generally known as 2k factorial designs. Particularly significant in industrial applications of the response surface methodology. A single replicate of the 2k design is sometimes called as an unreplicated factorial.
The total amount of protein produced by a dairy cow can be estimated from periodic testing of her milk. The following are the total annual protein production values (lb) for 28 tw
Lattice distribution : A class of probability distributions to which most of the distributions for discrete random variables used in statistics belongs. In such type of distributio
methods of measuring trend
Observational study is the study in which the objective is to discover cause-and-effect relationships but in which it is not feasible to use the controlled experimentation, in th
Whats the independent variable in the following sentence? -1) In a drug prevention program for boys and girls, will family-participation result in effective drug use reduction?
1) Consider an antenna with a pattern: G(θ,φ) = sinn(θ/θ0) cos(θ/θ0) where θ0 = Π/1.5 (a) What is the 3-dB bandwidth? (b) What is the 10-dB beam width? (c) What is t
Banach's match-box problem : The person carries two boxes of matches, one in his left and one in his right pocket. At first they comprise N number of matches each. When the person
I need a statistics project done. How much will it cost?
literature review of latin square design.
An approach to decrease the size of very large data sets in which the data are first 'binned' and then statistics such as the mean and variance/covariance are calculated on each bi
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