Observational Learning Is Different from the Associative Learning Described by Behaviorism

question 20

Multiple Choice

Observational learning is different from the associative learning described by behaviorism because observational learning

• A)requires a person to be as unique as possible.
• B)requires a permanent change in behavior.
• C)relies on mental processes.
• D)relies on competing stimuli.

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Definitions:

Discrete Probability Distributions

Probability distributions that deal with discrete random variables, quantifying the probabilities of different outcomes.

Continuous Probability Density Functions

Mathematical functions that describe the likelihood of all possible values of a continuous random variable.

Z-score

A numerical indicator that shows how a value compares to the average of a set of values, expressed as the number of standard deviations away from the mean.

Normally Distributed

A type of continuous probability distribution for a real-valued random variable, characterized by a symmetric bell-shaped curve.