Tom is serving as a consultant for a computer manufacturer based out of New York. The manufacturer is interested in understanding the average battery life of their 2020 computer model (2020) and whether this average battery life is different from their 2019 computer model which had a battery life of 9.45 hours. Below are Tom's inference results after collecting statistics from a random sample of 2020 computers

=9.4999

0=9.45

=0.09026

n=28

=0.00692

Degrees of Freedom 27

95% Confidence Interval (9.465,9.535)

Margin of Error 0.035

a) Tomtells the computer manufacturer that there is a 95% chance the true battery life of their 2020 phone model is in the 95% C.I. calculated above. Is there anything wrong with this interpretation? Explain.

b) what does the value of means in the context of this data?