Asked by Alondra Bello on May 05, 2024

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By ____________________ the significance level,you increase the probability of a Type II error.

Significance Level

A threshold used in hypothesis testing to determine whether to reject the null hypothesis, typically expressed as a probability such as 0.05 or 5%.

Type II Error

The failure to reject a false null hypothesis, also referred to as a "false negative."

  • Absorb the theories pertaining to Type I and Type II errors and how the modification in significance benchmarks (α) and sample dimensions (n) affect these errors.
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JM
Jomar MallannaoMay 08, 2024
Final Answer :
decreasing
lowering