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  2. Beer–Lambert law - Wikipedia

    en.wikipedia.org/wiki/Beer–Lambert_law

    The Beer–Bouguer–Lambert (BBL) extinction law is an empirical relationship describing the attenuation in intensity of a radiation beam passing through a macroscopically homogenous medium with which it interacts.

  3. Bailey–Borwein–Plouffe formula - Wikipedia

    en.wikipedia.org/wiki/Bailey–Borwein–Plouffe...

    To calculate 16 n−k mod (8k + 1) quickly and efficiently, the modular exponentiation algorithm is done at the same loop level, not nested. When its running 16x product becomes greater than one, the modulus is taken, just as for the running total in each sum. Now to complete the calculation, this must be applied to each of the four sums in turn.

  4. Template:Bbl to t/calc - Wikipedia

    en.wikipedia.org/wiki/Template:Bbl_to_t/calc

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  5. The 'BBL effect': Plastic surgeons say they're seeing record ...

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  6. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]

  7. Debt-service coverage ratio: What is it and how do you ... - AOL

    www.aol.com/finance/debt-coverage-ratio...

    What is a good debt-service coverage ratio? Most lenders want to see a debt-service coverage ratio of at least 1.25. But, lender requirements will vary depending on the type of business loan and ...

  8. Not getting enough magnesium could affect cardiovascular risk

    www.aol.com/lifestyle/not-getting-enough...

    People can take steps to increase magnesium intake if appropriate. Magnesium is a mineral that affects many aspects of how the human body works, including nerve function, muscle function, and bone ...

  9. Fieller's theorem - Wikipedia

    en.wikipedia.org/wiki/Fieller's_theorem

    Fieller showed that if a and b are (possibly correlated) means of two samples with expectations and , and variances and and covariance , and if ,, are all known, then a (1 − α) confidence interval (m L, m U) for / is given by