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Understanding Organism Counts: Techniques and Distributions

Explore experimental design for measuring organism abundance, skewed statistical distributions, and varying techniques for biological counts, from presence/absence data to population size estimates. Learn about negative binomial distribution, its parameters, and significant differences.

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Understanding Organism Counts: Techniques and Distributions

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  1. Presentación demostración diseño experimental

  2. “The statistical distributions of the counts of organisms are generally skewed, and hence not normally distributed, nor are variances constant across treatments“

  3. “Techniques to measure abundance of biological or-ganisms vary from simple presence/absence data to estimates of relative abundance, density, or population size.” • “The specific technique used depends on the questions being asked, the most efficient technique to answer a given question, and the biological or logistical constraints that limit the use of each technique “

  4. La distribución negativa binomial • Distribución discreta • Basada en conteos..número de éxitos en una secuencia de pruebas con un número de fallas r predeterminado La línea amarilla es la media La línea verde es la desviación estándar

  5. The parameter m is the arithmetic mean (expected value of x) and thus measures location. The parameter k measures the dispersion of the distribution.

  6. Diferencias significativas

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