African societies were matrilineal.
Since the beginning of time, African societies have been matrilineal. People traced their ancestry through their mothers and inherited property from them rather than their fathers. A new husband would join his wife's family. Women played significant (often dominant) roles in trade; they were also primary farmers, managed child care, and prepared food. In comparison to European societies, Native American and African societies tended to be matrilineal.
Households with matrilineal members are less likely to benefit from cooperation. Children of matrilineal women, on the other hand, are healthier and more educated.
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The scientists are testing Jonas’ executive attention. With
the executive attention the brain is able to stay in focus and highly engaged.
This can be illustrated with the example of driving a car. If you usually drive
to work but you decided you need want to have a cup of coffee first ,the
executive attention will is used to do that and break the routine.
Answer:
b. Because they do not receive additional compensation through company benefits, contingent IT workers usually make less that full-time employees doing equivalent work.
Explanation:
- contingent workers are a group of people who do not have a clear definition of long-term employment with a company. His work is mainly based on short-term engagements.
- contingent workers do not receive salaries. Instead, they receive payment or commission for the work they do. They are not responsible for benefits such as contract employees and are responsible for their own taxes.
- so answer is b. Because they do not receive additional compensation through company benefits, contingent IT workers usually make less that full-time employees doing equivalent work.
Cross-sectional research involves the comparison of two or more pre-existing groups of people under the same criteria.
<h3>What is
Cross-sectional research?</h3>
A cross-sectional study is a form of observational study in medical research, social science, and biology that analyzes data from a population, or a representative subset, at a specific point in time—that is, cross-sectional data.
Cross-sectional studies are used to analyze a population's illness burden or health requirements, and they are especially effective in informing health resource planning and allocation. A cross-sectional survey can be used to measure the burden of a certain disease in a defined population.
Cross-sectional studies capture a single point in time, gathering data from a research group at a particular point. This is often done with a single survey, questionnaire, or observation.
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