A journalist is interested in whether there is a significant difference in the salary offered to electrical engineering and chem
ical engineering graduates at the University of Texas at Austin. She reviews the statistics for starting annual salaries for 2013-2014 and finds the following: The test statistic is t = 2.4693, with a p-value of 0.0142. Which of the following is an appropriate conclusion?
The samples provide evidence that there is a statistically significant difference between the starting salary of chemical engineering and electrical engineering graduates at the University of Texas at Austin for 2013-2014.
The samples do not provide statistically significant evidence that there is a difference in starting salaries of chemical engineering and electrical engineering graduates at the University of Texas at Austin for 2013-2014.
We cannot use the t-test in this case because the variables (starting salary of engineering graduates) may not be normally distributed.
<em>The samples provide evidence that there is a statistically significant difference between the starting salary of chemical engineering and electrical engineering graduates at the University of Texas at Austin for 2013-2014.</em>
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Step-by-step explanation:
Since the p-value is small, it indicates statistically significant results. This means that <em>there is a statistically significant difference between the starting salary of chemical engineering and electrical engineering graduates at the University of Texas at Austin for 2013-2014.</em>
First, subtract 700 from both sides and you are left with .15m≤50 Then divide both sides by .15 and you are left with m ≤ 333.33. Thus, the limo can only travel 333.33 miles.
