Answer:
[tex]t_{n-1,\alpha/2}=3.59114678[/tex]
Therefore we do not have sufficient evidence at [tex]1\%[/tex] level that the true mean diameter has moved away from the target
Step-by-step explanation:
From the question we are told that:
Sample size [tex]n=36[/tex]
Mean diameter [tex]\=x=1.4[/tex]
Standard deviation [tex]\sigma=0.5cm[/tex]
Null hypothesis [tex]H_0 \mu=1.5[/tex]
Alternative hypothesis [tex]\mu \neq 1.5[/tex]
Significance level [tex]1\%=0.001[/tex]
Generally the equation for test statistics is mathematically given by
[tex]t=\frac{\=x-\mu}{\frac{s}{\sqrt{n} } }[/tex]
[tex]t=\frac{1.4-1.5}{\frac{0.5}{\sqrt{36} } }[/tex]
[tex]t=-1.2[/tex]
Therefore since this is a two tailed test
[tex]t_{n-1,\alpha/2}[/tex]
Where
[tex]n-1=36-1=>35[/tex]
[tex]\alpha=/2=0.001/2=>0.0005[/tex]
From table
[tex]t_{n-1,\alpha/2}=3.59114678[/tex]
Therefore we do not have sufficient evidence at [tex]1\%[/tex] level that the true mean diameter has moved away from the target
