Asked by Sandy Babbie on Apr 27, 2024
Verified
Reducing the probability of a Type I error also reduces the probability of a Type II error.
Type I Error
The error made by rejecting a true null hypothesis, often referred to as a "false positive."
Type II Error
The error that occurs when a false null hypothesis is not rejected, also known as a "false negative."
Reducing
The process of decreasing or minimizing a quantity, dimension, or frequency.
- Scrutinize the correlation between levels of significance and different errors.
- Realize the impact of changing the level of significance on the probabilities of committing Type I and Type II errors.
Verified Answer
DZ
dzenita zekovic
Apr 30, 2024
Final Answer :
False
Explanation :
Reducing the probability of a Type I error may increase the probability of a Type II error, as the significance level (alpha) is lowered, leading to a higher threshold for rejecting the null hypothesis and potentially increasing the likelihood of accepting a false null hypothesis. Reducing the probability of a Type II error would require increasing the sample size or making other adjustments to increase the power of the study.
Learning Objectives
- Scrutinize the correlation between levels of significance and different errors.
- Realize the impact of changing the level of significance on the probabilities of committing Type I and Type II errors.
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