Question

The discrepancies between sample estimate and population parameter is

termed as

a) Human error

b) Formula error

c) Non-sampling error

d) Sampling error​

Answer 1

Answer:

I think d is the correct option : sampling error

Answer 2

Answer:

The correct option is d) sampling error.

Explanation:

• Statistical errors called sampling errors occur when a sample does not accurately reflect the entire population.
• They are the discrepancy between the population's actual values and values obtained from samples taken from the population.
• When numerical parameters for the entire population are generated from a sample of the entire population, sampling mistakes take place.
• The parameters obtained from the sample are different from those of the actual population because the sample does not include the entire population.
• Users could reach the wrong conclusions as a result of the distortions they may introduce into the results.
• The sampling errors are considerable when analysts do not choose samples that are representative of the total population.

Sampling error is the discrepancy between the sample estimate and population parameter.

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