This is the Central Limit Theorem.
The answer will depend on the underlying distribution for the variable. You may not simply assume that the distribution is normal.
The mean of the sampling distribution is the population mean.
It is the sampling distribution of that variable.
In statistics, a quartile is each of four equal groups into which a population can be divided according to the distribution of values of a particular variable.
The sum of proportions computed from a frequency distribution must equal
The answer will depend on the underlying distribution for the variable. You may not simply assume that the distribution is normal.
The mean of the sampling distribution is the population mean.
It is the sampling distribution of that variable.
You calculate the standard error using the data.
Simple random sampling gives you are fair representation of the population. Every member of the population has an equal chance of being chosen.
Sampling has multiple meanings depending on the domain of work:Statistics - Sampling is selecting a subset of population from within the population to estimate the characteristics of the whole population.There are two different types of Sampling Procedure;1. Probability2. Non ProbabilityProbability sampling methods ensures that there is an equal possibility for each individual in a population to get selected.Non Probability method targets specific individuals.
The best way to reduce sampling error is to use random sampling in the study. This means selecting the population to study through a random process. This will ensure that each member of the population under study has an equal chance of being selected.
Random Sampling
Nothing, really. You may be able to say more if you knew what the underlying distribution was.
Random Sampling.
It can be used for that purpose.
optimum population is the population which allows equal distribution of goods and services among the people of a region or country by considering environmental and social values.