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Multivariate analysis of variance (MANOVA) is a technique to assess group differences across multiple metric dependent variables simultaneously, based on a set of categorical (non-metric) variables acting as independent variables. It provides information on the nature and predictiv . power of the independent measures, as well as the relat~onsliips and differences seen in the depend~nt measures. MANOVA involves a structured method to specity the comparisons of group differences for ther dependent variables and still maintain statistical efficiency.
Consider the following game: (a) If (top, left) is a Weakly Dominant Strategy Equilibrium, then what inequalities must hold among (a, ..., h)? (b) If (top, left) is a Na
TYPE I AND II Errors If a statistical hypothesis is tested, we may get the following four possible cases: The null hypothesis is true and it is accepted; The
In an agricultural experiment, we wish to compare the yields of three different varieties of wheat. Call these varieties A, B and C. We have a ?eld that has been marked into a 3 *
#quesgraphical representation of data
The Null Hypothesis - H0: The random errors will be normally distributed The Alternative Hypothesis - H1: The random errors are not normally distributed Reject H0: when P-v
Chebychev inequality
f(x,y)=c(6-x-y) ,o find P(X+Y
Need help on my maths assignment
Accelerated Failure Time Model A basic model for the data comprising of survival times, in which the explanatory variables measured on an individual are supposed to act multipli
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