Respuesta :
Answer:
[tex]t=\frac{24-25}{\frac{2.2}{\sqrt{14}}}=-1.70[/tex]
[tex]p_v =P(t_{(13)}<-1.70)=0.0565[/tex]
If we compare the p value and the significance level given [tex]\alpha=0.05[/tex] and we can see that [tex]p_v>\alpha[/tex] so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can't conclude that the true average speed is lower than 25 mph at 5% of signficance.
Step-by-step explanation:
Data given and notation
[tex]\bar X=24[/tex] represent the sample mean
[tex]s=2.2[/tex] represent the sample standard deviation
[tex]n=14[/tex] sample size
[tex]\mu_o =25[/tex] represent the value that we want to test
[tex]\alpha=0.05[/tex] represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
[tex]p_v[/tex] represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the true mean for the average speed is lower than 25 mph, the system of hypothesis would be:
Null hypothesis:[tex]\mu \geq 25[/tex]
Alternative hypothesis:[tex]\mu < 25[/tex]
If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:
[tex]t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}[/tex] (1)
Calculate the statistic
We can replace in formula (1) the info given like this:
[tex]t=\frac{24-25}{\frac{2.2}{\sqrt{14}}}=-1.70[/tex]
P-value
The first step is calculate the degrees of freedom, on this case:
[tex]df=n-1=14-1=13[/tex]
Since is a one side test the p value would be:
[tex]p_v =P(t_{(13)}<-1.70)=0.0565[/tex]
Conclusion
If we compare the p value and the significance level given [tex]\alpha=0.05[/tex] and we can see that [tex]p_v>\alpha[/tex] so we can conclude that we have enough evidence to FAIL reject the null hypothesis, so we can't conclude that the true average speed is lower than 25 mph at 5% of signficance.