A Type I error is when:

a. We conclude that there is an effect in the population when in fact there is
not.
b. We conclude that there is not an effect in the population when in fact there
is.
c. We conclude that the test statistic is significant when in fact it is not.
d. The data we have entered into R is different than the data collected.


a. We conclude that there is an effect in the population when in fact there is
not.

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Indicate whether this statement is true or false.

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