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  2. Sample size determination - Wikipedia

    en.wikipedia.org/wiki/Sample_size_determination

    The sample size is an important feature of any empirical study in which the goal is to make inferences about a population from a sample. In practice, the sample size used in a study is usually determined based on the cost, time, or convenience of collecting the data, and the need for it to offer sufficient statistical power. In complex studies ...

  3. Factorial experiment - Wikipedia

    en.wikipedia.org/wiki/Factorial_experiment

    If a factor already has natural units, then those are used. For example, a shrimp aquaculture experiment [9] might have factors temperature at 25 °C and 35 °C, density at 80 or 160 shrimp/40 liters, and salinity at 10%, 25% and 40%. In many cases, though, the factor levels are simply categories, and the coding of levels is somewhat arbitrary.

  4. Fermat's factorization method - Wikipedia

    en.wikipedia.org/wiki/Fermat's_factorization_method

    Squares are always congruent to 0, 1, 4, 5, 9, 16 modulo 20. The values repeat with each increase of a by 10. In this example, N is 17 mod 20, so subtracting 17 mod 20 (or adding 3), produces 3, 4, 7, 8, 12, and 19 modulo 20 for these values. It is apparent that only the 4 from this list can be a square.

  5. Exploratory factor analysis - Wikipedia

    en.wikipedia.org/wiki/Exploratory_factor_analysis

    [20] [21] [22] When there is a small sample size, even large discrepancies between the model and data may not be significant, which leads to underfactoring. [20] Another disadvantage of the likelihood ratio test is that the null hypothesis of perfect fit is an unrealistic standard.

  6. Fractional factorial design - Wikipedia

    en.wikipedia.org/wiki/Fractional_factorial_design

    Dropping B results in a full factorial 2 3 design for the factors A, C, and D. Performing the anova using factors A, C, and D, and the interaction terms A:C and A:D, gives the results shown in the table, which are very similar to the results for the full factorial experiment experiment, but have the advantage of requiring only a half-fraction 8 ...

  7. Integer factorization - Wikipedia

    en.wikipedia.org/wiki/Integer_factorization

    Construct an ambiguous form (a, b, c) that is an element f ∈ G Δ of order dividing 2 to obtain a coprime factorization of the largest odd divisor of Δ in which Δ = −4ac or Δ = a(a − 4c) or Δ = (b − 2a)(b + 2a). If the ambiguous form provides a factorization of n then stop, otherwise find another ambiguous form until the ...

  8. List of conversion factors - Wikipedia

    en.wikipedia.org/wiki/List_of_conversion_factors

    month (full) mo ≡ 30 d [23] = 2.592 × 10 6 s [note 3] month (Greg. av.) mo = 30.436 875 d: ≈ 2.6297 Ms [note 3] month (hollow) mo ≡ 29 d [23] = 2.5056 Ms [note 3] Month : mo Cycle time of moon phases ≈ 29.530 589 d (average) ≈ 2.551 Ms: octaeteris = 48 mo (full) + 48 mo (hollow) + 3 mo (full) [24] [25] = 8 a of 365.25 d = 2922 d ...

  9. Factorization - Wikipedia

    en.wikipedia.org/wiki/Factorization

    where both factors have integer coefficients (the fact that Q has integer coefficients results from the above formula for the quotient of P(x) by /). Comparing the coefficients of degree n and the constant coefficients in the above equality shows that, if p q {\displaystyle {\tfrac {p}{q}}} is a rational root in reduced form , then q is a ...