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.

explanation:

actually, not all representation was acceptable based on this little piece of article, in 1776, the second continental congress issued the declaration of independence, stating their specific grievances with the british monarchy and why they were going to create a separate government. after the colonies separated from the british monarchy and formed the united states of america, they had to answer some crucial questions: 1) if not a monarchy, what type of government was the united states going to have? 2) what kind of government was going to protect the people without violating their individual liberties?

b) the planets year length would be longer

hope this !