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Descriptive Statistics Paper
Research and Evaluation I
RES/341
July 20, 2011
Patricia Towne
University of Phoenix

Descriptive Statistics Paper
Last week, team C paper included a hypothesis that explained why gas prices were on the rise and the factors that play a part it in. This week, after further research and evaluation team C conducted intense research to support and confirm the articles that explained the different situations that involved crude oil and the reason why it plays a factor on the price of gasoline. Team C thoroughly conducted research with the help of the UOP library and many online sources to help aid in their investigation. There are numerous factors that play a part in the calculation of this data and this paper will focus on the information gathered with the use of calculation of descriptive statistics, frequency distribution, and histogram.
A part of descriptive statistics involves calculating the measures of central tendency and dispersion. Central tendency involves estimates of the mean, mode, and median. The mean can be used in describing central tendency. The mode is the most frequently occurring value in the set of scores (Lind, Marchal, Wathem, 2005). And the median is the score that is found at the exact middle of the set of values. By reviewing and analyzing the central tendencies of the data the below graph will help further explain the central tendency, dispersion, and skew for team C’s data.
Looking over the histogram regarding gas prices around America, it shows that not only is Las Vegas feeling the pain at the pump but other states are as well. It has fluctuated over the past few years going from as low as $2.90 while reaching heights of $4.40. With the barrel of crude oil rising, and the summer months not far from being over, we may see a rise again. When collecting data you have to take into account all areas of the problem, situations and responsibilities before providing this information to the reader.
The best way to measure central tendency and dispersion is to research all areas, not just the area that you live and reside but the surrounding areas. You have to take in account that in the rural areas gas prices may be higher because of the distance the truck has to travel to dispense the gas. Without looking at any graphs, reading any research data, and without looking at any previous data, we know this is a major problem with a mean that is higher than normal. The data set used in the frequency distribution and histogram was the ten most populated states in America. The gas price in each state was used to calculate the frequency and percentage of that states demand for gas. From the data collected and analyzed in the histogram and the frequency chart, it shows that the reason for gas prices being high in America is not to be blamed on supply and demand because there are other factors which have a major effect on the issue. The chart shows that from the ten most populated states in America, which should have the highest demand for gas, but instead some of the states listed on the ten most populated were not close to the top ten in cost per gallon. The best central tendency for measuring the collected data was the mean. By finding the pull of the mean, we can properly see the direction our chart or graph will lean most; thus the skew of the distribution can be analyzed more clearly. Our data shows that there are no skew at this time but over time the mean will pull to the left, which will result in a skew to the right. This is because the population is only getting bigger hence the demand for gas/oil.
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| | | | | | | | | | | | | |Data | | | | | |cumulative | | | | lower | |upper |midpoint |width | frequency |percent | frequency |percent | | | |2.90 |< |3.40 |3.15 |0.50 |0 |0.0 |0 |0.0 | | | |3.40 |< |3.90 |3.65 |0.50 |6 |60.0 |6 |60.0 | | | |3.90 |< |4.40 |4.15 |0.50 |4 |40.0 |10 |100.0 | | | | | | | | | | | | | | | | | | | | |10 |100.0 | | | | | | | | | | | | | | | | |
Based on all of the aforementioned information, I believe that we have successfully covered our research question and problem statement. By analyzing all areas of the country and not just merely our own, it allowed us to find the central tendency of gas prices. We were also able to successfully determine the mean which allowed us to predict a possible rise in gas due to certain criteria. As the population continues to grow, the demand for crude oil/gas will continue to rise while the supply will continually fall. It is an extremely persistent battle that we are doomed to lose eventually. For the time being, the only method we have to combat the high rising cost of gas is to develop alternate fuel resources in order to help combat the need for crude oil to be used. As gas prices fluctuate daily, we shall continue to research this ever expanding issue.

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