Examlex
If the data-generating process you are working with has a population parameter that is not identified it will be the case that:
Nominal Data
Information grouped into categories without an inherent numerical value or order, such as colors or gender.
Ordinal Data
Data classified into categories within a specific order or ranking, but without meaningful mathematical differences between those rankings.
Type II Error
The error that occurs when the null hypothesis is not rejected when it is actually false, also known as a false negative result.
Type I Error
Mistakenly refusing a true null hypothesis, popularly known as a "false positive."
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