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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.
how to describe association between quantitative and categorical variables
calculate the mean yearly value using the average unemployment rate by month
replacement problem
A statewide survey of 1,706 California adults’ residents include the following question: would you favor or oppose providing a path to citizenship for illegal immigrants in the U.S
Software which started out as the spreadsheet targeting at manipulating the tables of number for financial analysis, which has now developed into a more flexible package for workin
hello I have a dataset including both categorical & numerical variable for market segmentation.how can i cluster them via k-means in matlab? thank you
Prior distributions : The probability distributions which summarize the information about a random variable or parameter known or supposed at a given time instant, prior to attaini
Suppose the graph G is n-connected, regular of degree n, and has an even number of vertices. Prove that G has a one-factor. Petersen's 2-factor theorem (Theorem 5.40 in the note
Matching distribution is a probability distribution which arises in the following manner. Suppose that the set of n subjects, numbered 1; . . . ; n respectively, are arranged in
Goodmanand kruskal measures of association is the measures of associations which are useful in the situation where two categorical variables cannot be supposed to be derived from
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