Answer:
Biased sample
Explanation:
In statistics, a biased sample refers to a non-random sample of the population. This means that in a biased sample all the individuals are not equally likely to be selected to be part of the sample. This results in<u> groups from the population not being represented in the sample.</u>
Thus, when we have a biased sample, the results of the study will likely be biased if this error in sampling is not taken into account.
In this example, the pollster <u>RANDOMLY</u> dials landlines across the country. <u>However, not all people in the country have landlines </u>(many people have only cellphones and the older wealthier people are more likely to have a landline). Therefore, <u>not all the people from the country have the same probability of being selected</u> for this poll and <u>people who don't have landlines</u> (probably younger people or not so wealthy people) <u>will not be represented in the sample.</u>
Thus, this would be an example of a biased sample.
Explanation:
<em>Wealth</em><em> </em><em>refers</em><em> </em><em>to</em><em> </em><em>the</em><em> </em><em>stock</em><em> </em><em>of</em><em> </em><em>assets</em><em> </em><em>held</em><em> </em><em>by</em><em> </em><em>a</em><em> </em><em>person</em><em> </em><em>or</em><em> </em><em>household</em><em> </em><em>of</em><em> </em><em>a</em><em> </em><em>single</em><em> </em><em>point</em><em> </em><em>in</em><em> </em><em>time</em><em>.</em><em> </em><em>Income</em><em> </em><em>refers</em><em> </em><em>to</em><em> </em><em>money</em><em> </em><em>received</em><em> </em><em>by</em><em> </em><em>a</em><em> </em><em>person</em><em> </em><em>or</em><em> </em><em>household</em><em> </em><em>over</em><em> </em><em>some</em><em> </em><em>period</em><em> </em><em>of</em><em> </em><em>time</em><em>.</em><em> </em>
Cesarean sections are medically indicated for approximately <u>21</u> percent of births. The World Health Organization (WHO) has released information showing that the use of caesarean sections has increased internationally and now accounts for more than 1 in 5 (21%) of all childbirths. According to the study, this figure is expected to rise over the next ten years, with nearly a third (29%) of all newborns projected to be delivered via caesarean section by 2030.
In cases where it is medically necessary, a caesarean section (CS) can save both the mother and the newborn's life. As with all surgical procedures, caesarean section exposes the mother and the child to pertinent short- and long-term health risks, which may have an impact on the progression and result of subsequent pregnancies. Maternal mortality, postpartum infection, uterine rupture, bladder injury, abnormal placentation, ectopic pregnancy, stillbirth, preterm birth, and other are the main obstetric complications linked to caesarean section.
To learn more about caesarean section refer
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The unshared environment in studies of personality refers to differences in aspects<span> of the environment that differ between individuals
People who lived in an environment with a lot of resources to sustain their living will tend to have less aggressive behavior compared to the people that live in the environment that have scarce resources.</span>