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Miller twist rule is a mathematical formula derived by American physical chemist and historian of science Donald G. Miller (1927-2012) to determine the rate of twist to apply to a given bullet to provide optimum stability using a rifled barrel. [1]
This template creates a vertical bar chart for a set of data of your choosing, for example, charting population demographics of a location. Up to twenty graphical bars can be used along with specified colors. The graph's width is set by default, but can be changed, as well as the large and small scales.
The formula calculator concept can be applied to all types of calculator, including arithmetic, scientific, statistics, financial and conversion calculators. The calculation can be typed or pasted into an edit box of: A software package that runs on a computer, for example as a dialog box. An on-line formula calculator hosted on a web site.
The probability density function (PDF) for the Wilson score interval, plus PDF s at interval bounds. Tail areas are equal. Since the interval is derived by solving from the normal approximation to the binomial, the Wilson score interval ( , + ) has the property of being guaranteed to obtain the same result as the equivalent z-test or chi-squared test.
VisiCalc ("visible calculator") [1] is the first spreadsheet computer program for personal computers, [2] originally released for the Apple II by VisiCorp on October 17, 1979. [1] [3] It is considered the killer application for the Apple II, [4] turning the microcomputer from a hobby for computer enthusiasts into a serious business tool, and then prompting IBM to introduce the IBM PC two years ...
Success rate is the fraction or percentage of success among a number of attempts to perform a procedure or task. It may refer to: Call setup success rate; When success refers to attempts to induce pregnancy, then pregnancy rate is used: Artificial insemination § Success rates; In vitro fertilisation § Success rates
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
If p = 1/n and X is geometrically distributed with parameter p, then the distribution of X/n approaches an exponential distribution with expected value 1 as n → ∞, since (/ >) = (>) = = = [()] [] =. More generally, if p = λ/n, where λ is a parameter, then as n→ ∞ the distribution of X/n approaches an exponential distribution with rate ...