According to CreditReport, the mean credit score in Georgia for 2007 was 668. Suppose that a hypothesis test is conducted to determine whether the mean credit score in Georgia has decreased since that time. Describe what a Type I error would mean in the context of this problem.

A)
Reject H0 when actually the mean score has not decreased.
B)
Do not reject H0 when the mean score has not decreased.
C)
Reject H0 when actually the mean score has decreased.
D)
Do not reject H0 when actually the mean score has decreased.

A Type I error in the context of this problem would mean rejecting the null hypothesis (H0) when, in reality, the mean credit score in Georgia has not decreased.

In hypothesis testing, the null hypothesis assumes there is no significant difference or change in the parameter being tested (in this case, the mean credit score). The alternative hypothesis, which we are trying to gather evidence for, suggests that there is a change or difference in the parameter.

If a Type I error occurs, it means that we incorrectly conclude that there has been a decrease in the mean credit score in Georgia when there actually hasn't been any significant change. It's like saying there is an effect or change when there isn't one in reality.

So, in the given options, the correct answer would be:

A) Reject H0 when actually the mean score has not decreased.