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:
brainly.com/question/11094051
#SPJ4
Don't completely understand the question, but i'm pretty sure it's TRUE. I think thi sbecause you shoul dalways think about what you are going to post or say because once you do it is there forever. Even if you delete a tweet someone most likely screenshotted it or saved it and could have sent it to countless people for all you know... again not sure if this helped or not, but good luck
Explanation:
The preparation of the Assets section is shown below:-
Alpha Dog Company
Adjusted Trial Balance
December 31, 2016
Particulars Assets
Cash $88,450
Accounts Receivable $150,000
Supplies $29,255
Total current assets $179,255
Fixed Assets
Equipment $295,285
Accumulated Depreciation -$238,760 $56,525
Stock Investment $172,000
Total Fixed assets $228,525
Total Assets $407,780
Total Assets = Total current assets + Total fixed assets
Question 30.... are more quantitative and analytical.
The study about High-Paying, In Demand Job Skills, of a global media leading company will lead you to a conclusion that quantitative and analytical traits of an employee is more important than an employee who is computer literate and good at foreign languages. These traits are helpful in any field.
When that person spams I guess
