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$3.00 Using your business research scenario fr

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  • Due on Aug. 19, 2011
  • Asked on Aug 17, 2011 at 6:00:45PM
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Ifenna5
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Using your business research scenario from Week 1 DQ 1 (or another example), discuss how descriptive statistics are used to analyze and report data. Consider both numeric descriptive statistics (means, standard deviations, proportions, etc.) and graphic descriptive statistics (tables, figures, charts, etc.). Provide specific examples. Note 200 words res/341
 

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Descriptive Statistics
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  • Posted on Aug. 18, 2011 at 07:40:54AM
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Preview: ... ics, you are trying to reach conclusions that extend beyond the immediate data alone. For instance, we use inferential statistics to try to infer from the sample data what the population might think. Or, we use inferential statistics to make judgments of the probability that an observed difference between groups is a dependable one or one that might have happened by chance in this study. Thus, we use inferential statistics to make inferences from our data to more general conditions; we use descriptive statistics simply to describe what's going on in our data. Descriptive Statistics are used to present quantitative descriptions in a manageable form. In a research study we may have lots of measures. Or we may measure a large number of people on any measure. Descriptive statistics help us to simply large amounts of data in a sensible way. Each descriptive statistic reduces lots of data into a simpler summary. For instance, consider a simple number used to summarize how well a batter is performing in baseball, the batting average. This single number is simply the number of hits divided by the number of times at bat (reported to three significant digits). A batter who is hitting .333 is getting a hit one time in every three at bats. One batting .250 is hitting one time in four. The single number describes a large number of discrete events. Or, consider the scourge of many students, the Grade Point Average (GPA). This single number describes the general performance of a student across a potentially wide range of course experiences. Every time you try to describe a large set of observations with a single indicator you run the risk of distorting the original data or losing important detail. The batting average doesn't tell you whether the batter is hitting home runs or singles. It doesn't tell whether she's been in a slump or on a streak. The GPA doesn't tell you whether the student was in difficult courses or easy ones, or whether they were courses in their major field or in other disciplines. Even given these limitations, descriptive statistics provide a powerful summary that may enable comparisons across people or other units. Univariate Analysis Univariate analysis involves th ...
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