Answer:
Follows are the responses to this question:
Step-by-step explanation:
[tex]H_O: \mu=220\\\\H_a:\mu \neq 220\\\\[/tex]
0.05 degree of significance for two tail tests and n-1= 9 df, critica t= 2.262
When the absolute value of the test statistic |t| >2.262, the decision rule rejects[tex]H_0[/tex].
[tex]\mu=220\\\bar{x}=228.200\\n=10.00\\smaple \ std \ deviation = 18.200\\std\ error \ ' sx= \frac{s}{\sqrt{n}} =5.7553\\test stat t=\frac{(x-\mu) \times \sqrt{n}}{sx}=1.4248\\p value=0.1880\\[/tex]
In point c:
It does not reject[tex]H_0[/tex], because it has the sample that not contradicts the manufacturer's claim
In point d:
For point 1:
The value of p is 0.1880 , that is higher than the 0.05
For point 2:
Yes