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Essay / Research Paper Abstract
A 6 page paper. The stimulus statement is: College/university students study for 10 or more hours per week. This would represent the true average. The essay begins by explaining the different types of averages and the confidence interval needed for a 'true average.' The writer then reports multiple research studies that discuss the average number of hours per week students study. Bibliography lists 7 sources.
Page Count:
6 pages (~225 words per page)
File: MM12_PGsthr.RTF
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Unformatted sample text from the term paper:
premise is that college/university students study an average of ten or more hours each week. It is important to understand the different terms relative to average. There are three
types of averages: the mean average is obtained by summing the numbers and dividing by the number in the sample, it is a straight arithmetic average. Example: 10 + 5
+20 = 35 divided by 3 = 17.5. The median average is obtained by listing the set of numbers in order from low to high or high to low. The
mean average is then the number where half the population falls above and half the population falls below. Example: 10, 12, 15 = median average is 12. This only works
if the total sample size is an odd number. If it is an even number, the median is the simple average of the middle two numbers. Example: 10, 12, 15,
20, find the average of 12 and 15 = 13.5. The mode average is the number that has the greatest frequency. Example: 10, 14, 12, 18, 12, mode average is
12. The true average is obtained through a statistical estimation process and subsequent analysis. It has to do with confidence level and confidence interval (School of Computing, 2007). Without
going into statistical explanations, every empirical study establishes a confidence level that reports how much confidence the researcher has in the data (School of Computing, 2007). Usually, a confidence level
of at least 95 percent is used (School of Computing, 2007). That means there is a 5 percent chance the data are in error (School of Computing, 2007). Many studies
use a confidence level of 99 percent because this adds much greater support for the results. The confidence interval is the true average. So, say the data revealed an average
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