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Too much marketing information can be as problematic as too little.
Type II Error
The statistical error that occurs when a test fails to reject a false null hypothesis, also known as a "false negative."
Sample Size
Refers to the number of observations or data points collected in a sample from a population for the purpose of statistical analysis.
Level of Significance
The threshold chosen by the researcher which determines the probability at which the null hypothesis will be rejected, often denoted by alpha (α).
Operating Characteristic
A function or curve that describes the discriminating ability of a test across various conditions or thresholds.
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