A safety officer wants to prove that μ = the average speed of cars driven by a school is less than 25 mph. Suppose that a random sample of 14 cars shows an average speed of 24.0 mph, with a sample standard deviation of 2.2 mph. Assume that the speeds of cars are normally distributed. For a significance level of α = 0.05, do we reject the null hypothesis? Which of the following is an appropriate conclusion?

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.  

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