Richard C. answered 05/31/16
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Edward,
In these types of studies, the null hypothesis typically states that the sample mean (the average of the sample data collected) is equal to the mean of the population.
We can write this as:
H0: μ = μp
The alternative hypothesis, H1 (that fuel economy decreases with increasing horsepower) is that our sample mean will be less than the population value or:
H1: μ < μp
In a one-tailed test, we're only interested in one-half of the distribution. The alternative hypothesis tells us which one.
Since we want to know if our sample mean is significantly less than the population mean, then we'd only be interested in the left portion (lower) of the distribution. All .10 of of α lies at the left side. If the test statistic we calculate falls within that lower .10, then our alternative hypothesis is supported.
Hope this helps!
Edward S.
05/31/16