Answer: c. Yes, because –2.77 falls in the critical region
Explanation:
Let
be the population mean.
As per given , we have to test hypothesis :
Since the alternative hypothesis is left-tailed , so test is a left-tailed test.
Also, population standard deviation is unknown , so we will perform a left tailed t-test.
Sample size : n= 48
Sample mean :
![\overline{x}=46](https://img.qammunity.org/2020/formulas/mathematics/college/kyosg13nej12hugsou8k6euf3ngqtliwnq.png)
sample standard deviation : s= 10
Test statistics :
![t=\frac{\overline{x}-\mu}{(s)/(√(n))}](https://img.qammunity.org/2020/formulas/mathematics/college/o5f7ndax49gc4ekj7zics8ekqlldo8c792.png)
![t=(46-50)/((10)/(√(48)))](https://img.qammunity.org/2020/formulas/mathematics/college/w680w0w40bupeoq4jp0qphlbnhotuloziv.png)
![t=(-4)/((10)/(6.92820323028))\approx-2.77](https://img.qammunity.org/2020/formulas/mathematics/college/iu5faowgybayllea64vxplktz3fbjxvgap.png)
Degree of freedom : df = n-1 = 47
For significance level 0.025 and degree of freedom 47 , we have
Critical t-value for left-tailed test =
[Using student's t-distribution table]
Rejection region : we reject null hypothesis for t<-2.012
Decision : Since -2.77(calculated t- value)< -2.012(Critical value) , it means it falls under rejection region.
i.e. We reject the null hypothesis.
We have sufficient evidence to support the alternative hypothesis μ < 5.7 ounces .
i.e. The company have sufficient evidence at α = 0.025 to believe that these inspectors are slower than average.
Hence , the correct answer = c. Yes, because –2.77 falls in the critical region