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Q: What is distribution coefficient?
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If coefficient of skewness equals 0 then what would you say about the skewness of the distribution?

if coefficient of skewness is zero then distribution is symmetric or zero skewed.


Which estimator will consistently have a skewed sampling distribution?

Coefficient of varation


How do you calculate a coefficient knowing the expected rate of return and standard deviation?

It depends on what the underlying distribution is and which coefficient you want to calculate.


How can one determine the distribution coefficient in a chemical system?

To determine the distribution coefficient in a chemical system, one can conduct a partitioning experiment where the compound of interest is placed in two immiscible phases. By measuring the concentrations of the compound in each phase at equilibrium, the distribution coefficient can be calculated as the ratio of the compound's concentration in one phase to its concentration in the other phase.


What is the coefficient distribution F of I2 between H2O and CCL4?

The coefficient distribution F of I2 between H2O and CCl4 refers to the partitioning of I2 between the two solvents. It quantifies the relative solubility of I2 in each solvent and is determined experimentally using a partition coefficient measurement. The coefficient distribution F is calculated as the concentration of I2 in CCl4 divided by the concentration of I2 in H2O at equilibrium.


What is the application of distribution coefficient?

The distribution coefficient is used to measure how a solute partitions between two immiscible phases, typically a solid and a liquid. It is useful in various fields such as chemistry, pharmacy, and environmental science to predict and understand the distribution behavior of solutes in different phases. It helps in optimizing extraction processes, designing separation techniques, and determining the bioavailability of drugs.


How is the Gini coefficient calculated and what does it measure in terms of income inequality?

The Gini coefficient is calculated by comparing the distribution of income among individuals in a population to a perfectly equal distribution. It ranges from 0 (perfect equality) to 1 (perfect inequality). A higher Gini coefficient indicates greater income inequality within a society.


How is the Gini coefficient calculated and what does it reveal about income inequality within a population?

The Gini coefficient is calculated by comparing the distribution of income within a population to a perfectly equal distribution. It ranges from 0 (perfect equality) to 1 (perfect inequality). A higher Gini coefficient indicates greater income inequality within a population.


What is the Gini coefficient?

The Gini coefficient is a measure of income inequality within a population, with a value of 0 indicating perfect equality and 1 indicating perfect inequality. It is commonly used by economists and policymakers to understand the distribution of income or wealth within a country. A higher Gini coefficient suggests a more unequal distribution of income.


What is the value of distribution coefficient of iodine between water and chloroform?

The distribution coefficient of iodine between water and chloroform is approximately 35. This means that iodine is more soluble in chloroform than in water.


How to calculate the Gini coefficient for income distribution?

To calculate the Gini coefficient for income distribution, you need to plot a Lorenz curve showing the cumulative share of income against the cumulative share of the population. The Gini coefficient is then calculated as the area between the Lorenz curve and the line of perfect equality, divided by the total area under the line of perfect equality. The Gini coefficient ranges from 0 (perfect equality) to 1 (perfect inequality).


What is coefficient of skewness in a variable concentration?

A measure of skewness is Pearson's Coefficient of Skew. It is defined as: Pearson's Coefficient = 3(mean - median)/ standard deviation The coefficient is positive when the median is less than the mean and in that case the tail of the distribution is skewed to the right (notionally the positive section of a cartesian frame). When the median is more than the mean, the cofficient is negative and the tail of the distribution is skewed in the left direction i.e. it is longer on the left side than on the right.