Answer:
b. hindsight
Explanation:
Hindsight bias: In psychology, the term hindsight bias demonstrates the propensity of a person to over evaluate his or her ability to predict a specific outcome that is considered as difficult to be predicted. It makes a person to believe that an event is easy to predict even they are not in reality. Memory distortion can occur because of hindsight bias.
Example: A man predicted that it is going to rain today but it didn't rain and then he claims that I knew the opposite is going to happen.
In the question above, the given statement may be an example of hindsight bias.
Hi!
Your answer is B.
It is <u><em>not</em></u> A because this doesn't really make sense. It's not the best answer.
It <u><em>is</em></u> B because, in sentences, the words around it will likely give the information you need to infer what the word means.
(For example, if I were to say "<em>She was </em><u><em>continuously</em></u><em> singing, for yesterday she sang for 4 straight hours, and it was extremely annoying</em>", pretend you do not know what "continuously" means. By using the words around it, such as "4 straight hours" you can predict that it means "never stopping".)
It is <u><em>not</em></u> C because not every single sentence contains a synonym or antonym.
(See the sentence above. The antonym of "continuously" would be 'never' or 'sometimes' or possibly 'discontinous'. There isn't always an antonym or synonym there, is there?)
It is <u><em>not</em></u> D because not every single word is defined in a passage.
(When you open an average book, is there just an entire page(s) dedicated to every single definition of a word? Most often, no, there is not.)
<span>The behavior costing approach to employee attitude evaluation is based on the assumption that measures of attitudes is true.
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At the level of 0.05% significance we can not reject the psychologist's claim. His claim is supported.
Explanation:
When a researcher undertakes a project to do research firstly he takes some random samples. Sample is definite a small group of numbers assume to represent the whole population. Suppose a researcher wants to do research on married couples to find the trend of divorce among them. For that reason he will randomly choose some of the couples and will draw conclusions that inter personal communication reduce the chances of divorce.
Now to establish this experiment as a fact he needs to go through a test of level of significance. Where he will get the result that his statement is established or rejected.
