Answer:
The whole car
Explanation:
Rapid mapping is a term related to cognitive psychology that refers to the learning of concepts by children, these concepts being directly related to the exposure of information, learning and communication. In other words, rapid mapping refers to children's ability to hear the words used by adults, conceptualize them to the situation where they are inserted and memorize the word as defining the situation.
In this case, when David's father points to a car and says "Look at that Lamborghini," David, through quick mapping, will believe that "Lamborghini" is the name of the object "car" and not the name of a type of car.
Answer:
With regard to temperament, Marwa is best classified as: slow-to-warm-up.
Explanation:
<u>According to Thomas and Chess, temperament is comprised of the individual differences concerning self-regulation, emotions, and motor reactivity. Those characteristics are consistent over time and across situations.</u> There are three general types of temperament in children:
- Easy children adjust to new situations and are active and happy since birth.
- Difficult children are hard to satisfy. They do not adjust easily, express negative moods intensely, and present irregular routines.
<u>- Slow-to-warm-up children are less active babies since birth. They can show some difficulty adjusting to new situations.</u>
<u>Marwa would be best classified as a slow-to-warm-up child. Notice that she demonstrates discomfort, but not to the point of screaming, like a difficult child would do.</u>
Answer:
1
The action of Pfizer is no way near an ethical act and was a clear violation of the ethical standards.This is true because
- As it is the company responsibility to act ethically to achieve the goals of the society by eradicating their problems and not by enhancing them hence the corporate social responsibility would not allow the company to behave inhumanly
- The duty based ethics would also empower the corporation to care and respect humanity
- Its is highly unethical on the part of Pfizer to conduct test on human life.if we consider the six basic guidelines to make ethical decisions then they have done it in a highly unethical manner.The six basic guidelines would never allow any company to behave i such a manner so as to risk the human life
Pfizer did not obey any of the above ethical standards and the conduct was clear violation of ethical standard.
2
Pfizer plc is not guilty of any ethical standard violation as it is a common practice for drug manufacturer to conduct tests on animals as well as human.And anyways the company conducted the tests on those human beings who will die with the epidermic which has already invaded the entire country of Nigeria.Hence in other to save/protect a large number of human being the test on the few persons is ethical as it is done to protect the society at large
So we cannot say that the company had violated any ethical standard
3
In order for Pfizer to avert the consequences of the violation then Pfizer should use the following five steps to create solution tom problem on ethical question these steps include
- Inquiry : It is very crucial to make initial inquiry about the entire subject matter
- Discussion: If there is a list of action generated after inquiry then discussion on every single action should be made
- Decision : It is highly crucial to take any decision with the consensus of all the participating candidates
- Justification : Each decision made must have a justification for the entire process
- Evaluation : it is highly crucial to evaluate the entire process
Explanation:
If everyone participates the problem becomes easier and quicker to solve. You have more people participate you get more feedback.
.The simple split partitions the data into two mutually exclusive subsets called a training set and a test set . It is common to designate two-thirds of the data as the training set and the remaining one-third as the test set.
How do you measure accuracy of classification models?
There are many ways for measuring classification performance. Accuracy, confusion matrix, log-loss, and AUC-ROC are some of the most popular metrics. Precision-recall is a widely used metrics for classification problems
Classification accuracy:
is a metric that summarizes the performance of a classification model as the number of correct predictions divided by the total number of predictions. It is easy to calculate and intuitive to understand, making it the most common metric used for evaluating classifier models.
Learn more about accuracy of classification model:
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