Examlex
A required condition for using the normal approximation to the binomial in testing the difference between two population proportions is that n1p1 ≥ 30 and n2p2 ≥ 30.
Type II Error
A statistical error made when failing to reject a false null hypothesis, also known as a false negative.
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.
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