Respuesta :
Complete Question
The complete question is shown on the first uploaded image
Answer:
The correct option is F
[tex]t = 1.17[/tex]
[tex]t_ {\alpha , df} =t_ {0.10 , 8} = 1.86[/tex]
Since the test statistics is outside the rejection region , we fail to reject the null hypothesis ,There is no statistically significant evidence to reject the claim
Step-by-step explanation:
From the question we are told that
The claim is [tex]\mu = 0[/tex]
Hence
The null hypothesis is [tex]H_o : \mu = 0[/tex]
The alternative is [tex]H_a : \mu \ne 0[/tex]
Generally the test statistics is mathematically represented as
[tex]t = \frac{\= d - \mu_d }{ \frac{s_d}{ \sqrt{n} } }[/tex]
=> [tex]t = \frac{3.5 -0 }{ \frac{8.94}{ \sqrt{9} } }[/tex]
=> [tex]t = 1.17[/tex]
Generally the degree of freedom is mathematically represented as
[tex]df = n- 1[/tex]
[tex]df = 9 - 1[/tex]
[tex]df = 8[/tex]
From the student t-distribution table the critical value of [tex]\alpha[/tex] at a degree of freedom of 8 is
[tex]t_ {\alpha , df} =t_ {0.10 , 8} = 1.86[/tex]
Since the [tex]t_ {\alpha , df}[/tex] is outside the rejection region , we fail to reject the null hypothesis ,There is no sufficient evidence to reject the claim
