Probability formula calculator

    • [DOC File]PERT Calculations

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      The shaded area represents the probability of being between the two limits, but we already know that probability is to be 90%. Now, we have to find the limits that make that probability correct. The formulae we use is simply a variation on the formula for Z, except that instead of calculating Z from the due date as we did before, we are going ...

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    • [DOC File]AP Statistics TI 83/84 Calculator functions

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      Ex: The probability of randomly guessing correctly at a multiple choice question is .2. If Sally guesses at all 20 questions, what is the probability that she will get at least 6 correct. Ans: 1 – binomcdf (20, .2, 5). 6. geometpdf (p, X): In the geometric setting this gives you the probability …

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    • [DOC File]Calculation of Detection Probabilities Adapted from ...

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      = estimated probability of detection at site i, conditional on the fish being alive at site i. ... when i =1 the variance formula reduces to: The maximum likelihood estimator of is: CJS Example. I generated capture histories for a 2-occasion CJS model with true parameter values (1 = 0.85, p1 = 0.93, and = 0.80. Capture histories were generated ...

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    • [DOC File]Sampling and Sample Size

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      The formula can be rewritten as: N = (zα S / E ) 2 . where E is the “margin of error” (half the width, W). As an approximation, for 95% confidence, use the value of 2 for zα (instead of 1.96) – remember that this is an approximation, after all! Then the formula is a very concise and easily remembered: N = (2S / E ) 2

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    • [DOC File]CALCULATION OF REPEATABILITY AND REPRODUCIBILITY

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      In eq.28, n, , are parameters, and B( , ) is beta function. Probability distribution function is given by eq.29. (29) (30) Eq.30 is probability density function of beta distribution. The expectation and variance of random variable, X which is followed by beta binomial distribution is given by …

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    • [DOC File]Calculating Probability - Nc State University

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      In general, the probability that x gets a value c, P(x=c), is defined as . the sum of all corresponding outcomes in S (i.e., the sample space) that are assigned to the value . x. Ex. x = # of heads in tossing 2 fair coins. 3. There are 3 ways to display a probability distribution for a discrete r.v.: through a density plot. through a table ...

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    • [DOC File]Yield Modeling

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      Calculate the killer probability as above, as if the defect under consideration were the only one on the die. Calculate the average background yield in the area under consideration for the wafers included in the analysis. Calculate the adjusted killer probability from the formula: (14) Where: Adjusted killer probability

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    • [DOC File]Binomial Probability Worksheet II

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      Binomial Probability Worksheet II. Given the number of trials and the probability of success, determine the probability indicated: 1. find P(2 successes) 2. find P(1 success) 3. find P(10 successes) 4. find P(11 successes) 5. find P(4 successes) 6. find P(3 failures) 7. find P(1 failure) 8. find P(at least 3 successes) 9. find P(no more than 3 ...

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