Answer:
Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.
Explanation:
We are given the following information in the question:
The null and alternative hypotheses:

where μ is the average amount of money in a savings account for a person aged 30 to 40.
Type I error:
- Type I error is the error when we reject the null hypothesis when it is true.
- It is also known as false positive.
Thus, for the given hypothesis test type I error is represented as:
Type I error would occur if we reject null hypothesis and conclude that the average amount is greater than $3,200 when in fact the average amount is $3,200 or less.