Which of the following is true about Type I errors?
a. Considered only when results are not statistically significant in a study
b. Extremely likely to happen when p is less than 0.001
c. More likely to happen when p is less than 0.01 rather than p is less than 0.05
d. Occur when the researcher says there is a significance, but findings are actually not statistically significant
ANS: D
With a Type I error, study results indicate there is a significant difference, when in reality there is not.
Researchers should always be concerned with both Type I and Type II errors. With a Type I error, study results indicate there is a significant difference, when in reality there is not.
A Type I error is less likely to happen with smaller and smaller levels of significance. With a Type I error, study results indicate there is a significant difference, when in reality there is not. C. With a Type I error, study results indicate there is a significant difference, when in reality there is not.
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