Answer:
c. classical conditioning
Explanation:
In psychology, the term classical conditioning refers to a form of learning in which a stimulus is paired with another one to create a learned behavior.
The first stimulus creates a natural response by itself and it's called the unconditioned stimulus that creates an unconditioned response. However, this stimulus is paired to another one (conditioned stimulus) and the same response that appeared naturally at first starts appearing when the new stimulus appears (conditioned response).
In this example, Ashley is on an elevator and <u>she gets trapped inside, this situation obviously creates a response of fear on her (unconditioned response).</u> However, <u>now Ashley refuses to ride on any elevator because she is afraid.</u> We can see that <u>this response has become a conditioned response in the presence of any elevators</u> and therefore this is an example of classical conditioning learning.
Answer:
All of them
Explanation:
The king condemning his own peaceful actions to be the cause of violence is in complete contradiction to one another. An oddity occurs and the action is in complete contrast to the outcome. One cannot justify that the corresponding actions may have led to the specific outcome. such is also the case in the example:
a; condemning a robbed man for having too much money does in no way justifies the action of robbing. Blaming a source that was done only for the reason of ones own satisfaction.
b; condemning Socrates for his truth to force people to make him drink the hemlock, is as absurd as the above example.
c; condemning Jesus for his devotion to God shows that the intention of the action was completely different but the outcome was in complete contrast.
I Think it's a laborer or if not an investor
Eh idk
A correlation coefficient of .90 indicates a strong positive relationship between two variables.
<h3>What is a correlation coefficient?</h3>
A correlation coefficient is a metric that expresses a correlation, or a statistical link between two variables, in numerical terms. Two columns of a given data set of observations, also known as a sample, or two parts of a multivariate random variable with a known distribution may serve as the variables.
Variables with correlation coefficients between 0.9 and 1.0 in magnitude are thought to be very highly correlated. Variables that can be regarded as having a high degree of correlation are indicated by correlation coefficients with magnitudes between 0.7 and 0.9.
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