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The greatest amount of responsibility for providing customer satisfaction falls on the shoulders of
Significance Level
The probability of rejecting the null hypothesis in a statistical test when it is actually true, often denoted as alpha and used as a threshold for determining statistical significance.
Null Hypotheses
A statistical hypothesis that assumes no significant difference or effect exists within a set of given observations.
Type I Error
The error that occurs when a null hypothesis is incorrectly rejected when it is actually true, often referred to as a "false positive."
Type II Error
The statistical mistake of failing to reject a false null hypothesis. It's also known as the error of accepting a false negative result.
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