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Yanka [14]
3 years ago
12

Beth hired Tom, trained him, coached him, and expected he would be her eventual replacement when she moved up in the company. Sh

e noted each of his accomplishments with pride but wrote off as vicious gossip the comments from Tom's coworkers that he was making too many mistakes. Beth is experiencing Group of answer choices Selective perception bias Confirmation bias Framing bias The anchoring effect
Social Studies
1 answer:
Bad White [126]3 years ago
6 0

Answer:

Anchoring bias

Explanation:

Selective perception is the tendency not to notice and more quickly forget stimuli that cause emotional discomfort and contradict our prior beliefs. For example, a teacher may have a favorite student because they are biased by in-group favoritism. The teacher ignores the student's poor attainment.

Confirmation bias is the tendency to search for, interpret, favor, and recall information in a way that confirms or strengthens one's prior personal beliefs or hypotheses. It is a type of cognitive bias.

Framing bias refers to the observation that the manner in which data is presented can affect decision making. The most famous example of framing bias is Mark Twain's story of Tom Sawyer whitewashing the fence. By framing the chore in positive terms, he got his friends to pay him for the “privilege” of doing his work.

The anchoring effect is a cognitive bias that describes the common human tendency to rely too heavily on the first piece of information offered (the “anchor”) when making decisions. During decision making, anchoring occurs when individuals use an initial piece of information to make subsequent judgments.

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In statistics, in addition to the mode and median, the mean is one of the measures of central tendency. Simply said, the mean is the average of the values in the given collection. It indicates that values in a certain data collection are distributed equally. The three most often employed measures of central tendency are the mean, median, and mode. The total values provided in a datasheet must be added, and the sum must be divided by the total number of values in order to get the mean.

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