A car company claims that its cars achieve an average gas mileage of at least 26 miles per gallon. A random sample of five cars form this company have an average gas mileage of 25.2 miles per gallon and a standard deviation of 1 mile per gallon. At α=0.06, can the company’s claim be supported, assuming this is a normally distributed data set?

Respuesta :

Answer with explanation:

Let [tex]\mu[/tex] be the population mean.

Null hypothesis : [tex]H_0:\mu\geq26[/tex]

Alternative hypothesis : [tex]H_1:\mu<26[/tex]

Since the alternative hypothesis is left tailed, so the test is a left-tailed test.

Sample size : n=5 <30 , so we use t-test.

Test statistic: [tex]t=\dfrac{\overline{x}-\mu}{\dfrac{\sigma}{\sqrt{n}}}[/tex]

[tex]t=\dfrac{25.2-26}{\dfrac{1}{\sqrt{5}}}\approx-1.79[/tex]

Critical t-value for t=[tex]t_{n-1, \alpha}=t_{4,0.06}=1.9712[/tex]

Since, the absolute value of t (1.79) is less than the critical t-value , so we fail to reject the null hypothesis.

Hence, we have sufficient evidence to support the company's claim.

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