Making a Type I error means: . a. We do not find enough evidence that there`s a difference in TV habits by gender for the class, when actually there is a difference.
b. We find evidence that there`s a difference in TV habits by gender for the class. There is a difference in TV habits by gender.
c. We do not find enough evidence that there`s a difference in TV habits by gender for the class.
d. We find evidence that there`s a difference in TV habits by gender for the class, when there is actually no difference. There is no difference in TV habits by gender.

d.

Explanation:

Making a Type I error means we find evidence that there`s a difference in TV habits by gender for the class when there is actually no difference. There is no difference in TV habits by gender. Type 1 errors are usually seen in statistical hypothesis testing and refer to accepting a conclusion that only occurred due to lucky circumstances but are not factually correct and will likely not happen again, the same applies for the opposite where a conclusion is rejected due to an unlikely circumstance when in actuality it is a correct conclusion.

answer; always; never;

answerdestination end device address;