I believe the answer is: True
A dysfunction tend to be created when a part of the system that become the foundation to society is not doing its role properly. Example of a dysfunction would be government representatives, who are elected by voters to create a certain type of legislation that they want, choose to pass another legislation and abandoned their promise.
Answer:
A secondary reinforcer.
Explanation:
Operant conditioning can be defined as an associative learning process which involves reinforcing the strength of a behavior. Thus, the outcome depends on the response in operant conditioning.
A reinforcement of a desired behavior involves the process of strengthening a positive behavior being exhibited by an individual through the use of stimulus. Therefore, making the behavior to be exhibited in the future by the individual.
Basically, by reinforcing desired behaviors with rewards, parents, teachers and leaders can help people in building positive norms.
In this scenario, when a child behaves well for an entire day, the child earns a star. After acquiring fifteen stars, the child is allowed to pick a prize from a toy chest. The star is best described as a secondary reinforcer because it motivates or influences the decision of the child to behave well for an entire day.
I believe the answer is: <span>slippery slope Fallacy
</span><span>slippery slope Fallacy Refers to an argument that sounded correct intially, but often exaggerated to make a minor event appear to be causing consequences that way bigger than it actually does. </span>We can is this in Jill exaggeration on what the human cloning would do without providing a slightest evidence on her conclusion.
Answer:laboratory experimentation
Explanation:
The type of investigation that represent the descriptive method of scientific inquiry are; observation, case study and survey.
Answer:
Training a model using labeled data and using this model to predict the labels for new data is known as: <u>Supervised Learning.</u>
Explanation:
Supervised learning is a set of techniques that allows future predictions based on behaviors or characteristics analyzed in labeled historical data. A label is nothing more than the output that the data set has returned for historical data, already known. In supervised learning, it assumes that we start from a previously labeled data set, that is, we know the value of the target attribute for the data set that we have.
