A Type I error could occur for which of the following reasons?
a. Large difference between groups
b. Large sample size
c. Lenient level of significance
d. Normal distribution
ANS: C
There is a greater risk of Type I error with a 0.05 level of significance than with a 0.01 level of significance. As the level of significance becomes more extreme, the risk of a Type I error decreases.
The greater the difference between groups the less likelihood of a Type I error.
A Type I error is probably less likely with a large sample.
Normal distribution is not going to cause a Type I error.
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