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Because of the cost and time involved in recruiting and evaluating candidates for sales positions, the goal should be to:
Null Hypothesis
A default hypothesis that there is no significant difference or relationship between specified populations or phenomena, used as a starting point for statistical testing.
Incorrect Decision
A decision based on data analysis or hypothesis testing that incorrectly accepts the null hypothesis or wrongly rejects it, leading to a Type I or Type II error.
Type II Error
The error that occurs when a statistical test fails to reject a false null hypothesis; also known as a "false negative."
True Null Hypothesis
The assumption or premise that there is no effect, difference, or relationship between the variables being studied, which might be rejected or not rejected based on statistical analysis.
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