Examlex
What do MOST adults aged 65 to 85 say when asked which phase of life they would return to if they could?
Type II Error
A Type II Error occurs in hypothesis testing when a false null hypothesis is not rejected, meaning a real effect or difference was missed.
Null Hypothesis
A statement used in statistics that suggests there is no significant difference or effect, serving as the default assumption to be tested.
Type I Error
The error of rejecting the null hypothesis when it is true, often referred to as a "false positive."
Confidence Interval
An interval of values, pulled from a sample's statistics, with a good chance of containing the elusive value of a population parameter.
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