Answer:
We conclude that μ <= 20 after hypothesis testing.
Step-by-step explanation:
We are given that sample of 30 observations is selected from a normal population.
Also, Sample mean, Xbar = 21 and Population Standard deviation, [tex]\sigma[/tex] = 6.
Null Hypothesis, [tex]H_0[/tex] : μ <=20
Alternate Hypothesis, [tex]H_1[/tex] : μ > 20
So, Test Statistics we will use here is ;
[tex]\frac{Xbar-\mu}{\frac{\sigma}{\sqrt{n} } }[/tex] follows standard normal, N(0,1)
Test statistics = [tex]\frac{21 - 20}{\frac{6}{\sqrt{30} } }[/tex] = 0.913 .
Now at 5% level of significance z % table gives the critical value of 1.6449 and our test statistics is less than this as 1.6449 > 0.913. So,we have sufficient evidence to do not reject null hypothesis or accept [tex]H_0[/tex] as our test statistics does not falls in the rejection region because it is less than 1.6449.
Hence we conclude after testing that Population mean, μ<=20.