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B.F. Skinner did not like the term "Skinner box" given to his experimental devices; he preferred to use another term, which was:
Alpha
In statistics, often refers to the significance level used in hypothesis testing, typically set at 0.05 or 0.01, representing the probability of incorrectly rejecting the null hypothesis.
Alpha
In statistics, the threshold of probability at which the null hypothesis is rejected, often set at 0.05 or 5%.
Type I Error
The error that occurs in hypothesis testing when a true null hypothesis is incorrectly rejected, falsely indicating a significant effect or difference.
Alpha
A threshold value used in hypothesis testing that defines the maximum probability of committing a Type I error.
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