When using randomly selected samples, researchers determine the likely accuracy of the sample by analyzing it with regard to the or the range on either side of an estimate that is likely to hold the true value for the population. multiple choice validity measure confidence interval secondary value sampling confidence quantitative spread

Confidence Interval

Explanation:

Confidence interval is the interval estimate which might contain the true value of a population parameter which is unknown.

The confidence level of a parameter in a sample gives the closeness of the parameter in the population. The parameter which is calculated for a particular confidence level is called the confidence interval.

For example, the kilograms of rice that is calculated for a confidence level of 99% is 200-300 kg. So, a person would need to by 200-300 kg of rice in a year which is very close to the what the people actually buy in the entire population.