A convenience sample of forty people is taken from a population. Which of the following is a reason why you can not make a statistical inference on the population?

The sample size is not large enough.

The population isn’t given to be approximately normal.

The sample is not given to be normally distributed.

The wrong sampling method was used.

In convenience sampling, first few responses are considered and not all parameters are considered. This is the easiest method of sampling but least effective

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tutorconsortium33 tutorconsortium33 · Answer 2 · 2022-07-09T19:33:21+02:00

(D) The wrong sample method was used.

Sample:

The term 'sample' can mean -

A sample is a statistical term for a portion of a population.
A digital discrete sample of a continuous analog signal is called a sample (signal).
A sample, a specimen, or a little amount of anything.
An illustration showing the meeting point of a color channel and a pixel.
Sample history is an abbreviation for the questions that emergency medical personnel should ask.
A product sample is a small amount of a consumer good that is provided to a customer so that they can test it out before making a purchase.

Statistics:

The study of statistics focuses on gathering, organizing, organizing, analyzing, interpreting, and presenting data.
It is customary to start with a statistical population or a statistical model to be researched when applying statistics to a scientific, industrial, or social problem.
Populations can refer to a variety of groupings of individuals or things, such as "every individual living in a nation" or "each atom making up a crystal."
Every facet of data, including the planning of data collecting in terms of the layout of surveys and experiments, is covered by statistics.

Therefore, the correct answer if the problem is (D) the wrong sample method was used.

Know more about statistics here:

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