Committing a Type I error means:
A) you accept the null hypothesis when it is actually false
B) you reject the null hypothesis when it is actually true
C) your effect size is not large enough
D) your experiment is not replicable
Question 2
If the critical value of a chi-square statistic were 3.841, and the chi-square value you obtained in a statistical analysis of your data were 6.89, this would mean that:
A) your results were statistically significant
B) your results were not statistically significant
C) you would be allowed to conduct a follow-up test on your results
D) you would be allowed to reduce your alpha level to avoid a Type I error
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