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A nursing dean who wishes to determine whether students had developed a beginning sense of nursing identity would appraise the students':
α
The significance level in hypothesis testing, typically representing the probability of committing a Type I error.
Type II Error
The error that occurs when the null hypothesis is not rejected when it is actually false, also known as a "false negative".
Sample Size
The number of observations or units chosen from a population for the purpose of statistical analysis.
Lowering Alpha
Reducing the alpha level, or the threshold of significance, to decrease the probability of committing a type I error in hypothesis testing.
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