Answer:
The t-statistic for a hypothesis test that is designed to answer the question is 2.4.
Explanation:
Our test statistic is:
![t = \frac{X - \mu}{(s)/(√(n))]()
In which X is the sample mean,
is the value tested at the null hypothesis, s is the standard deviation of the saple and n is the size of the sample.
A store manager designs a new accounting system that will be cost effective if the mean monthly charge account balance is more than $50.
This means that

A sample of 100 accounts is randomly selected. The sample mean balance is $56 and the sample standard deviation is $25.
This means that
. So
![t = \frac{X - \mu}{(s)/(√(n))]()
![t = \frac{56 - 50}{(25)/(√(10))]()


The t-statistic for a hypothesis test that is designed to answer the question is 2.4.