the mean is usually reported as mean ± SD (standard deviation), however this value has several disadvantages.mean: in many applications, the median should be used instead (also rename AVERAGE() to MEAN() – is more intuitive).median: provide both the median AND the 50% inter-percentile range (IPR50%) or the IPR95% or the range (see Indexes of Spread/ Inner Location).the help file should state clearly that the median has several advantages over the mean as an index of central tendency and therefore should be used preferentially.median: is favoured over the mean in many applications ( Feinstein AR.However, more emphasis should be put on the median therefore some of the following comments could be included in the help file, too. Most of these are already available in Calc. rarely used (several disadvantages, but may be useful for nominal data).more robust then the mean: not influenced by outliers.calculate the mean from the (100 -2*x)% remaining values.
#Disadvantages of apache openoffice software
This is NOT always possible in an optimal way. The solely purpose of Descriptive Statistics is to summaryse the data in a very simple fashion, using only 2 or 3 values. summarizing the data: the second step involves summarizing the whole group of data using only a few numbers.graphical methods: the first step involves some graphical methods (see Graphical Presentations)įor a better understanding, I will start this section however with a description of the various group indices.
The statistical reasoning starts usually by examining the data (see Exploratory Data Analysis). During the following sections I will therefore emphasize the correct techniques, especially in view of newer methods and possibilities. However, half of the statistical work is already done by simply providing adequate descriptions. One of the most neglected steps in statistics is the adequate presentation of the group-characteristics for the data of interest. One Level Up: Calc/To-Dos/Statistical_Data_Analysis_Tool Intro
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