A car manufacturer claims that the bumper on its cars is constructed in such a way that if the car is driven into a wall at a speed of 15 miles per hour the damage to the car would cost about $200 to fix, on average. A consumer testing agency wants to check the manufacturer's claim that average (or mean) expenditure for bumper repair is equal to $200 against the alternative hypothesis that mean expenditure is not equal to $200 at a significance level of 0.01. The agency test crashes 9 cars. The resulting damages are:
245 305 175 250 280
160 250 195 210
Test the hypothesis and interpret the result.
The class is market research
Solution: The null and alternative hypotheses are:
Under the null hypothesis, the test statistic is:
Where:
The p-value is:
The p-value is found using the excel file:
Where:
1.862 is the test statistic
8 is the degrees of freedom
2 stands for the two-tailed test.
Conclusion: Since the p-value is greater than the significance level 0.01, we, therefore, fail to reject the null hypothesis and conclude that the mean expenditure is $200
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