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The true parameter mean may be predicted by using
Null Hypothesis
is a default hypothesis that there is no significant difference or effect.
Alternative Hypothesis
The alternative hypothesis proposes that there is a statistically significant difference between data sets or effects, contrary to the null hypothesis.
Type II Error
The statistical error that occurs when a test fails to reject a false null hypothesis, also known as a "false negative" finding.
Beta (β)
In statistics, the probability of making a Type II error, or failing to reject a false null hypothesis.
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