Answer:
it is C because it talks about professional
Explanation:
Based on the information provided within the question this seems to be an example of the loss of professional autonomy. This term refers to the ability of a professional being independent and self-directing, mostly in making decisions, as it gives professionals the ability to make judgement calls based on their beliefs and experience. Since in this situation the professionals are not given the freedom to initiate courses of action then we can say that they have lost their professional autonomy.
Answer:
The force applied will cause the object to be displaced from its equilibrium position.
However, the motion caused by the force on the object will be slight/minimal because of the small difference between the weight of the object and the force applied.
Explanation:
The weight of the object, W = 49.5 lbs
Force applied, F = 50 lbs
From the information given, it is observed that the force applied is greater than the weight of the object, i.e. F > W
Since, the force applied is greater than the weight of the object, the force applied is sufficient to cause a displacement of the object from the equilibrium position since it is known that the only cause of motion is force.
Answer:
not notice the older woman
Explanation:
With a lot of people in one place, it more difficult for Arlette to see the older woman and notice her problem. She probably only looks at what is in front of her eyes and in her way, not the sides if she is in a hurry or entertained with something. The noise who emit the people blocks the sound of the pain of the old lady.
<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>
