There are many factors that can make recognizing a bias hard, but one of them is if we have the same bias.
Say for example, that one person thinks that taller people are smarter and they listen to a speech that makes the same statement - they can then think that it's just confirming what they know, and can be a real fact instead of their bias. This will make it harder for them to recognize the bias.
Answer:
It is Iowa according to Britannica.
Answer:
the people are build there self and work progress and the develop the country after the civil War
the 1st civil war was 1965 that time our prime minister was Mr. Attal bihari Vajpayee
As part of being readmitted to the Union, states had to ratify the new amendments to the Constitution.
Explanation:
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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