If you choose to say "Yes, men and women are two sides of a coin," you can justify by stating men and women are complementary in what they offer to society.
<h3>Men vs. Women</h3>
This question requires a personal answer, which is why we will only provide an example and tips here. Suppose you choose to say "Yes, men and women are two sides of a coin." You can justify that opinion by explaining how complementary men and women are in what they offer to society.
For example, you can explain that men and women obviously share traits and qualities, but that in general men develop a more competitive side. Therefore, a society more dominated by men could be characterized by a culture of competition, of achievement over happiness.
On the other hand, a culture more dominated by women could value collectiveness. Rather than competition, others could be perceived as partners, companions on the same journey.
Since both men and women are included in our society, even if not in a way that is completely equal, they can offer those different traits so as to balance society, culture, and lifestyle.
Learn more about men and women here:
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You depart from Florida to reach the Bahamas, most people tour Florida since they are there.
Answer:
Old-school perspectives are still influential but new-school perspectives more accurately capture the current and future foci of the field.
Explanation:
Shangana Cultural Village was created and built by the local Shangaan people and
is a place of great pride and a way of protecting and preserving South Africa's
cultural diversity.
Answer:
a) dependent variable = the effectiveness of study strategies based by the number of correct answers on a test (the different study strategies used)
b) discrete: finite and countable number of questions
c) ratio scale
Explanation:
Dependent variable: The variable being tested or measured in an experiment are dependent variables. In an experiment, the researchers are measuring at how alteration in the independent variable can lead to changes in the dependent variable.
Discrete variable: In a discrete variable, variables can only take a finite number of values. It includes qualitative variables. Whereas, few quantitative variables are also present i.e performance being ranked as 1, 2, 3, and so on.
The variable consists of four levels of measurement i.e nominal, ordinal, ratio, and interval.
Ratio scale: This type of variable measurement scale is quantitative. It allows the researcher to compare the differences or intervals. It possesses a zero point of origin.