Answer:
There is no statistical evidence to support that mean is less than 8000 at 10% level
Step-by-step explanation:
Set up hypotheses as
[tex]H_0: \mu = 8000\\H_a: \mu <8000[/tex]
(Left tailed test)
The data for the observations are
7251 6871 9632 6866 9094 5849 8957 7978 7064 7494 7883 8178 7523 8724 7468
From the above data we find that
[tex]\bar x= 7788.8\\Std dev s= 968.44\\std error = \frac{s}{\sqrt{15} } =250.050\\[/tex]
Mean difference= -211.2
Test statistic t = mean difference/std error = -0.844
df = 14
p value= 0.20643
Since p >0.10 we accept H0
There is no statistical evidence to support that mean is less than 8000 at 10% level