The difference between the sample value and the true value in the population under study is referred to as .

a. sampling error

Step-by-step explanation:

These are options for the question below;

a. sampling error

b. random error

c. measurement error

d. chance correlation

e. none of these

Sampling error can be regarded as statistical error, this do occur when the person analysing the data just select portion out of the data, which doesn't fully cover for the whole population of the data, and after the analysis the gotten result doesn't resemble the kind of result that could have gotten if the whole population of Data is used. It occurs where there is more difference exist between population parameter and a sample statistic.

Mathematically sampling error can be calculated using below formula

Sampling error= Z √[p(1-p)/n] [1-√(N/n)

Where

N= population size

n=sample size

Z= score for the selected confidence level

P= proportion of people surveyed

It should be noted that The difference between the sample value and the true value in the population under study is referred to as sampling error

answer: d. $20

step-by-step explanation:

just took the test