Because only young adults were sampled, undercoverage bias may cause the newspaper to overestimate the proportion of all adults who have college debts.
<h3><u>What is bias in sampling?</u></h3>
When a sample is chosen in statistics, sampling bias is a bias that causes some individuals of the target population to have a lower or greater sampling probability than others. As a result, not every person or event was equally likely to have been chosen, resulting in a biased sample of a population (or non-human variables).
If this is not taken into consideration, results may be incorrectly attributed to the sampling procedure rather than the phenomenon being studied. Although some people identify sampling bias as a distinct sort of prejudice, sampling bias is typically categorized as a subtype of selection bias, sometimes referred to as sample selection bias.
Learn more about sampling bias with the help of the given link:
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Answer:
Rate of return is 20%
Explanation:
Rate of return is the actual return received on a investment. In this question Blaser Corporation invested $1,075,000 in asset and earned a income of $216,000. So the rate of return is as follow
Rate of return = Income received / Investment in Assets = $216,000 / $1,075,000 = 0.200 = 20%
The correct answer is <span>Certificate of Deposit
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Sora is the best group note taker; she meets are the criteria.
Answer and Explanation:
Unemployment rate = (Unemployed/Labor force)*100
Labor Force Participation Rate = (Labor force/Adult population)*100
Labor force = number of unemployed + number of employed
Adult population = employed + unemployed + not in the labor force
When homemakers are included in the labor force as employed then the unemployment rate would go down, labor force would increase and so the labor force participation rate would increase.
The unemployment rate would decrease and the labor force participation rate would increase.
