.

Friday, September 13, 2013

Energy Descriptivr Statistics

Data Analysis: Describing Data - Descriptive Statistics Accountability Modules WHAT IT IS solve to Table of Contents Descriptive statistics include the numbers, tables, charts, and graphs used to describe, organize, summarize, and fork over young info. Descriptive statistics atomic number 18 well-nigh often used to examine: + interchange t closing curtainency (location) of info, i.e. where selective information tend to fall, as mensurable by the mean, median, and mode. + public movie (variability) of selective information, i.e. how spread out data are, as metrical by the sectionalization and its square root, the standard deviation. + skew (symmetry) of data, i.e. how concentrated data are at the low or high end of the outdo, as measured by the skew index. + kurtosis (peakedness) of data, i.e. how concentrated data are approximately a single value, as measured by the kurtosis index. Any verbal description of a data set should include examination of the higher up. As a rule, looking at central tendency via the mean, median, and mode and spreading via the division or standard deviation is not sufficient. (See the definitions to a lower place for more details.) DEFINITIONS The following definitions are vital in perceptiveness descriptive statistics: + Variables are quantities or qualities that may assume every ace of a set of values. Variables may be classify as nominated, ordinal, or interval.
Ordercustompaper.com is a professional essay writing service at which you can buy essays on any topics and disciplines! All custom essays are written by professional writers!
Nominal variables use names, categories, or labels for soft values. Typical nominal variables include gender, ethnicity, job title, and so forth. ordinal number variables, like nominal variables, are categorical variables. Howeve! r, the order or rank of the categories is meaningful. For example, round members may be asked to indicate their happiness with a training score on an ordinal scale ranging from poor to excellent. Such categories could be converted to a numeral scale for further analysis. Interval variables are purely numerical variables. The nominal and ordinal variables noted above are distinguishable since they do not permit making statements about degree, e.g., Person...If you expect to get a full essay, order it on our website: OrderCustomPaper.com

If you want to get a full essay, visit our page: write my paper

No comments:

Post a Comment