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:
Explanation:
The pictures attached shows the full explanation
Answer:
GDP is not affected by Pete's production of the jewelry box.
Explanation:
Pete is a woodworker and works 20 hours to prepare a jewelry box to gift his wife. If Pete prepares this jewelry box to sell and earn revenue, this will be considered in GDP but in this case Pete prepares a jewelry box to give his wife as his wife's birthday gift.
All types of gifts received or given in kind are not included in Gross Domestic Production.
<span>In 1972, computer scientist Gordon Bell recognized that digital devices would change the world as they evolved and became widely used.
</span>Gordon Bell was an American electrical engineer and manager.<span> He was responsible for the first mini- and timesharing computers and is famous for his development of DEC's highly-successful VAX architecture.</span>
