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- 1Probability of B given A= P(AnB)/P(A)
- 2Normalising values (z =?)z=(x-mu)/SD
- 3Poisson's assumptionsProbability same for any 2 intervals
Probability of an event is independent of occurrence of other events . - 4Poisson's ProbabilityP(x) = (e^-lambda.lambda^x)/x!
Lambda = average
x = no. - 5Binomial assumptionsProbability of success remains constant throughout
'n' independent trials - 6BinomialP(r) = [n!/r!(n-r)!].p^r. (1-p)^n-r
r successes
n - number
p - probability of an outcome - 7t-Test (number of samples) (equation)n < 30
t= mean(pop.) - mean(sample)/[s/(n^0.5)] - 8degrees of freedom, vv = n - 1
- 9chi-squared (Minimum number of values in a cell)chi-squared = sum of
{[(Observed - expected)^2]/ observed}
Minimum of 5 values in a cell - 10Degrees of freedom chi-squaredF= n - k
n = number of cells
k = number of imposed conditions on expected results - 11Modified Thompson's tau techniquedelta = |x(i) - mean|
if delta > tau S
outlier - reject value - 12Chauvenet's Criterion
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- Bachelors Degree Materials Fichas sobre Sin título, creado por Nick Gray el 19/01/2016.
- Creado por
- Nick Gray
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