Question

write a note on personalities
and probability​

Answer 1

Answer:

Personality assessment, the measurement of personal characteristics. ... theory and research and to increase the probability that wise decisions will be made in applied settings .

Answer 2

Answer: Mark me brilliant Mark me brilliant Mark me brilliant Mark me brilliant

personality

Personality is defined as the characteristic sets of behaviors, cognitions, and emotional patterns that evolve from biological and environmental factors.[1] While there is no generally agreed upon definition of personality, most theories focus on motivation and psychological interactions with one's environment.[2] Trait-based personality theories, such as those defined by Raymond Cattell, define personality as the traits that predict a person's behavior. On the other hand, more behaviorally-based approaches define personality through learning and habits. Nevertheless, most theories view personality as relatively stable.[1]

The study of the psychology of personality, called personality psychology, attempts to explain the tendencies that underlie differences in behavior. Many approaches have been taken on to study personality, including biological, cognitive, learning and trait-based theories, as well as psychodynamic, and humanistic approaches. Personality psychology is divided among the first theorists, with a few influential theories being posited by Sigmund Freud, Alfred Adler, Gordon Allport, Hans Eysenck, Abraham Maslow, and Carl Rogers.

Step-by-step explanation:

probability

Probability is the branch of mathematics concerning numerical descriptions of how likely an event is to occur, or how likely it is that a proposition is true. The probability of an event is a number between 0 and 1, where, roughly speaking, 0 indicates impossibility of the event and 1 indicates certainty.[note 1][1][2] The higher the probability of an event, the more likely it is that the event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is fair, the two outcomes ("heads" and "tails") are both equally probable; the probability of "heads" equals the probability of "tails"; and since no other outcomes are possible, the probability of either "heads" or "tails" is 1/2 (which could also be written as 0.5 or 50%).

The probabilities of rolling several numbers using two dice.

These concepts have been given an axiomatic mathematical formalization in probability theory, which is used widely in areas of study such as statistics, mathematics, science, finance, gambling, artificial intelligence, machine learning, computer science, game theory, and philosophy to, for example, draw inferences about the expected frequency of events. Probability theory is also used to describe the underlying mechanics and regularities of complex systems.[3]