The mean of the sampling distribution is the population mean.
No.The Lorenz curve measures inequality of distribution of income (or wealth). The diagonal represents a distribution that is perfectly equal and you cannot get more equal than that!
The answer will depend on the underlying distribution for the variable. You may not simply assume that the distribution is normal.
It is the sampling distribution of that variable.
This is the Central Limit Theorem.
No, Saudi Arabia does not have equal distribution of income. There is a significant income inequality in the country, with a small percentage of the population holding a large share of the wealth while a larger portion of the population faces financial challenges.
It can be used for that purpose.
In a normal distribution, the mean and variance are not inherently equal; they are independent parameters. The mean indicates the center of the distribution, while the variance measures the spread or dispersion of the data. However, in a specific case where the mean is set to zero (0) and the variance is set to one (1), they can be equal in value, but this is not a general characteristic of all normal distributions.
True.
Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.
10,486.22 this is the density population and this is the distribution population 2,00465.789
Population distribution is usually greatly affected by what?