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Assuming there is no secular trend in the results, how large a value of n would be needed to obtain a statistically significant pooled estimate?
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And how do you know just how large "a relatively small percentage of the life or value of the leased asset" can be?
It shows how large a sample would have to be enrolled to be able to detect displacements of a specified value if the subpopulation had not been identified in advance.
And how large a screen?
But how large a stash is enough?
How large a handicap is that?
How large a sample size is needed?
The present study attempts to answer the question "How large can a small value of flexibility be and yet represent zero flexibility and how small can a large value be and yet represent infinite flexibility in the simulation of classical boundary conditions?".
By analogy with the spectral radius, these authors proposed the notion of the HOMO-LUMO radius which measures how large in absolute value may be the median eigenvalues of the adjacency matrix of a graph.
Motivated by the HOMO-LUMO separation problem, Jaklič et al. in (Ars Math. Contemp. 5 99-115, 2012) proposed the notion of HL-index that measures how large in absolute value are the median eigenvalues of the adjacency matrix.
Indeed, as can be seen from Fig. 2, no matter how we choose c, a large value of Prob{logOR >c} implies the corresponding Fisher's Test p-value will be small.
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