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.
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Answer:
The answer is: be able to recover damages
Explanation:
In order for a Drake (the plaintiff) to be able to recover damages he must prove that he suffered an injury (economic injury in this case) by Eve's false claims.
Eve promised to multiply Drake's money and instead Drake lost money. The proof of injury would be the money lost by trading with Eve's false algorithm.
Assuming the total population is 100 million, the civilian labor force is 50 million, and 47 million workers are employed, the unemployment rate it: 6 percent. The natural rate of unemployment is the: full-employment unemployment rate.
<span>The basic economic problem will affect Bill Gates who is one of the the world's wealthiest people because scarcity of resources is more so related to goods and services, and not how much money one may have. While he may be able to buy all the goods and services he wants as many as he wants for a unlimited amount time, he could only have access to those things if they are available.</span>
