Sampling distributions describe the distribution of a. neither parameters nor statistics. b. statistics. c. parameters. d. both parameters and statistics.

Respuesta :

Answer:

The correct answer is letter "B": statistics.

Explanation:

A sampling distribution is used in statistics when there is a need to study a certain matter of a population but only a few individuals are selected whether randomly or specifically to obtain an idea of what is happening. Thus, a sample of the population is chosen. Studying every individual seems impossible within a reasonable time frame so the sampling distribution sets a probability distribution for that purpose.

The possibility of allocation of a given random sampling based on statistics is called a sampling distribution. They are employed in inferential statistics as they can estimate the assumptions of the overall inhabitants.

The distribution describes the:

Option b. Statistics

The distribution can be explained as:

  • The sampling distribution is employed in statistics and is used to study the specific topic on the sample subject where few samples are selected for the random and specific conclusion.

  • Analyzing each individual sample is an impossible and tiring job so that probability distribution and statistics are employed.

Therefore, statistics is used.

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