Answer: C. Yes, because -2.77 falls in the critical region .
Explanation:
Let
be the population mean .
As per given , we have
![H_0:\mu=50\\\\ H_a: \mu<50](https://img.qammunity.org/2020/formulas/mathematics/high-school/yhf5ibg77gcgl47hdmyhy50brjj6csnm2o.png)
Since the alternative hypothesis is left-tailed and population standard deviation is not given , so we need to perform a left-tailed t-test.
Test statistic :
![t=\frac{\overline{x}-\mu}{(s)/(√(n))}](https://img.qammunity.org/2020/formulas/mathematics/college/o5f7ndax49gc4ekj7zics8ekqlldo8c792.png)
Also, it is given that ,
n= 48
![\overline{x}=46](https://img.qammunity.org/2020/formulas/mathematics/college/kyosg13nej12hugsou8k6euf3ngqtliwnq.png)
s= 10
![t=(46-50)/((10)/(√(48)))=(-4)/((10)/(6.93))\\\\=(-4)/(1.443)\approx-2.77](https://img.qammunity.org/2020/formulas/mathematics/high-school/b4tcjkrewai2luft05rmn7t61q2fh1ozvx.png)
Degree of freedom = df = n-1= 47
Using t-distribution , we have
Critical value =
![t_(\alpha,df)=t_(0.025,47)=2.0117](https://img.qammunity.org/2020/formulas/mathematics/high-school/ju5y7s40atgy5bx0qd18jf574ip6z4lv2h.png)
Since, the absolute t-value (|-2.77|=2.77) is greater than the critical value.
So , we reject the null hypothesis.
i.e. -2.77 falls in the critical region.
[Critical region is the region of values that associates with the rejection of the null hypothesis at a given probability level.]
Conclusion : We have sufficient evidence to support the claim that these inspectors are slower than average.
Hence, the correct answer is C. Yes, because -2.77 falls in the critical region