An office manager wonders if her employees put in more hours of work when free bagels are delivered every day.
The manager randomly selects $35$ workers to whom bagels will be delivered and compares the number of hours worked by these individuals to another randomly selected group of $35$ workers who do not receive bagels.
The computer output is below.
Two-Sample T-Test and CI
Difference = $\mu(1)-\mu(2) $
Estimate for difference: $0.580$
$95\%$ CI for difference: ($-0.538, 1.698$)
T-test of difference = $0$ (vs. not =): T-value = $1.04$
P-value = $0.304$
DF = $67$
What practical conclusion can be made based off this data?