Answer:
The answer is C.
The Senate is made up of 2 senators from each state. The number doesn't change based on population or area.
In the House of Representatives, the number of representatives for each state is based on population. States with a larger population will have more representatives in the House of Representatives. (Also, the number of representatives for each state is <u>not</u> based on the area of the state.)
This bicameral legislature came from the "Great Compromise," where the Founding Fathers couldn't pick one system of representation over another, so they went with both.
Answer:
A testable proposition or prediction is a <u>hypothesis</u>; while an explanation using an integrated set of principles that organizes observations and predicts behaviors or events is a <u>theory</u>.
Explanation:
The hypothesis is a proposition that establishes a relationship between the facts: a hypothesis is the establishment of a link between the facts that the researcher clarifies to the extent that he can generate logical explanations of why this link occurs.A theory is a set of interrelated structures (concepts, definitions and propositions) that present a systematic perspective of the phenomena specifying the relationships. It is the main objective of science, it is a combination that is projected in a systematic perspective of the phenomena in order to describe, explain, predict and control the phenomena.
The correct answer is B. Modeling
Explanation:
Modeling is a learning strategy or cognitive-behavioral technique that implies observing the behaviors or actions of others and then modeling or shaping own actions and behaviors according to the ones observed. This means learning occurs through modeling or by copying others. This is the case of Alex because as he does not know how to use cutleries he decided just to observe others and then copy their behaviors which means he larnt to use cutlery through modeling.
<span>To draw cause and effect conclusions, one needs to conduct a formal experiment, sometimes called a control experiment. The independent variable in this type of experiment is the only thing that is allowed to changed so the experimenter is able to conclude that the it is the independent variable which affected the dependent variable. In other words the independent variable effects the dependent variable, and it is the only thing that can effect the dependent variable.
This is not true in correlational experiments. Remember the oft repeated phrase that correlation does not mean causation. In other words, a lot of people carry umbrellas on a rainy day (there is a correlation between rainy days and people carrying umbrellas) but the umbrella carrying people did not cause the rain.</span>
