Respuesta :
Answer:
[tex] t =-3.4[/tex]
The degrees of freedom are given by:
[tex] df = n-1= 17-1 =16[/tex]
Now we can calculate the p value with this probability:
[tex]p_v =P(t_{16}<-3.4)=0.0018[/tex] And for this case the p value is lower than the significance level and the best conclusion would be:
The p-value is 0.0018. We reject H0 at the 5% significance level because the p-value 0.0018 is less than 0.05.
Step-by-step explanation:
Information given
[tex]n=17[/tex] sample size
[tex]\mu_o =3.5[/tex] represent the value to check
[tex]\alpha=0.05[/tex] represent the significance level
[tex]p_v[/tex] represent the p value
Hypothesis to verify
We want to verify if the true mean for this case is lower than 3.5, the system of hypothesis would be:
Null hypothesis:[tex]\mu \geq 3.5[/tex]
Alternative hypothesis:[tex]\mu < 3.5[/tex]
The statistic is given by:
[tex]t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}[/tex] (1)
For this case the statistic is given by:
[tex] t =-3.4[/tex]
The degrees of freedom are given by:
[tex] df = n-1= 17-1 =16[/tex]
Now we can calculate the p value with this probability:
[tex]p_v =P(t_{16}<-3.4)=0.0018[/tex] And for this case the p value is lower than the significance level and the best conclusion would be:
The p-value is 0.0018. We reject H0 at the 5% significance level because the p-value 0.0018 is less than 0.05.
Answer:
The p-value is 0.0018. We reject H0 at the 5% significance level because the p-value 0.0018 is less than 0.05.
Step-by-step explanation:
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