Answer:
The term cognitive dissonance is used to describe the mental discomfort that results from holding two conflicting beliefs, values, or attitudes. ... This inconsistency between what people believe and how they behave motivates people to engage in actions that will help minimize feelings of discomfort.
Explanation:
The term cognitive dissonance is used to describe the mental discomfort that results from holding two conflicting beliefs, values, or attitudes. ... This inconsistency between what people believe and how they behave motivates people to engage in actions that will help minimize feelings of discomfort.
Answer:United States' territory is any extent of region under the sovereign jurisdiction of the federal government of the United States,[1] including all waters (around islands or continental tracts) and all U.S. naval vessels.[2] The United States asserts sovereign rights for exploring, exploiting, conserving, and managing its territory.[3] This extent of territory is all the area belonging to, and under the dominion of, the United States federal government (which includes tracts lying at a distance from the country) for administrative and other purposes.[1] The United States' total territory includes a subset of political divisions.
Explanation:
Answer:
That statement is false
Explanation:
According to functionalist perspective, people need to fulfill their own role in order to ensure that the society run in harmony.
Between continuity theory and disengagement theory, only continuity theory is the one that aligned with the functionalist perspective.
Continuity theory views that older people will stick to the jobs/activities that they are used to while they are young. (so they can give contribution to the society), Disengagement theory on the other hand, views that older people will stray away from the job/activities that they are used to, making them no longer productive for society.
In an attempt to reduce the likelihood of a type ii error, the experimenter proposes to recruit a very large group of participants.
In statistical hypothesis testing, a Type I error is actually an incorrect rejection of the true null hypothesis (a.k.a. a "false positive" result or conclusion; e.g., "Innocent person convicted ing"). Rejection of one actually false null hypothesis (also called a "false negative" result or conclusion, e.g. "guilty party not convicted").
Many statistical theories revolve around minimizing one or both of these errors, but unless the outcome is determined by a known and observable causal process, either of these errors can be completely quantified. It is statistically impossible to eliminate You can improve the quality of the hypothesis test by choosing a lower threshold (cutoff) and changing the alpha (α) level. Knowledge of type I and type II errors is widely used in medicine, biometrics, and computer science.
Learn more about type ii error here:
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