In analyzing the city and highway fuel efficiencies of many cars and trucks, the mean difference in fuel efficiencies for the 601 vehicles was 7.38 mpg with a standard
deviation of 2.51 mpg. Find a 95% confidence interval for this difference and interpret it in context.
The 95% confidence interval for the difference in fuel efficiencies is....?
(Round to two decimal places as needed.)

Respuesta :

Answer:

[tex]7.38-1.96\frac{2.51}{\sqrt{601}}=7.18[/tex]    

[tex]7.38+1.96\frac{2.51}{\sqrt{601}}=7.58[/tex]    

For this case the confidence interval is given by :

[tex]7.18 \leq \mu \leq 7.58[/tex]

Step-by-step explanation:

Data provided

[tex]\bar X=7.38[/tex] represent the sample mean for the fuel efficiencies

[tex]\mu[/tex] population mean

s=2.51 represent the sample standard deviation

n=601 represent the sample size  

Confidence interval

The formula for the confidence interval of the true mean is given by:

[tex]\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}[/tex]   (1)

The degrees of freedom for this case is given by:

[tex]df=n-1=601-1=600[/tex]

The Confidence level for this case is 0.95 or 95%, and the significance level [tex]\alpha=0.05[/tex] and [tex]\alpha/2 =0.025[/tex] and the critical value is given by [tex]t_{\alpha/2}=1.96[/tex]

Replcing into the formula for the confidence interval is given by:

[tex]7.38-1.96\frac{2.51}{\sqrt{601}}=7.18[/tex]    

[tex]7.38+1.96\frac{2.51}{\sqrt{601}}=7.58[/tex]    

For this case the confidence interval is given by :

[tex]7.18 \leq \mu \leq 7.58[/tex]