Respuesta :
Answer:
The hypothesis test is two-tailed.
Population mean is being tested.
Step-by-step explanation:
We are given the following null and alternative hypothesis below;
Null Hypothesis, [tex]H_0[/tex] : [tex]\mu[/tex] = 5
Alternate Hypothesis, [tex]H_1[/tex] : [tex]\mu \neq[/tex] 5
- Firstly, the hypothesis test is two-tailed because we have to test against [tex]\mu \neq[/tex] 5 which means that we are concerned with both situations that whether [tex]\mu[/tex] is less than 5 or greater than 5.
- The parameter that is being tested here is Population Mean, [tex]\mu[/tex].
As population standard deviation is represented by the symbol [tex]\sigma[/tex].
And Population proportion is represented by symbol p.
Also, the test is not left-tailed because in the Alternate hypothesis we are not testing [tex]\mu < 5[/tex].
And the test is not right-tailed because in the Alternate hypothesis we are not testing [tex]\mu > 5[/tex].
The hypothesis test that can be conducted here is One- sample z test statistics or One-sample t -test statistics depending on the data given to us.
"Two-tailed" type of test is being conducted throughout this problem.
- A methodology that checks if a collection of samples is more or less within a range of possible values by using a two-sided critical section of something like an allocation, is considered as a Two-tailed test.
- If somehow the collection under test comes down into any of the key zones, the following hypothesis is proposed rather than just the null hypothesis.
Thus the response above is right.
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