May 2014
Intermediate to advanced
452 pages
9h 45m
English
Content preview from An Engineer's Guide to Mathematica
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9 Statistics
9.1 Descriptive Statistics
9.1.1 Introduction
Descriptive statistics are used to describe the properties of data; that is, how their values are distributed. One class of descriptors is concerned with the location of where the data tends to aggregate as typically described by the mean, median, or root mean square (rms). A second class of descriptors is concerned with the amount of dispersion of the data as typically described by the variance (or standard deviation) or by its quartiles. A third class of descriptors is the shape of the data as typically indicated by its histogram and its closeness to a known probability distribution. The commands used to determine these statistical descriptors are introduced in this section.
9.1.2 Location Statistics: Mean[], StandardDeviation[], and Quartile[]
The location statistics that we shall illustrate are the mean, median, and rms values, respectively, which are determined from
Mean[dat]
Median[dat]
RootMeanSquare[dat]
where dat is a list of numerical values representing measurements from a random process.
To illustrate these and other statistical functions, we shall consider the following data
datex1={111.,103.,251.,169.,213.,140.,224.,205.,166.,202.,
227.,160.,234.,137.,186.,184.,163.,157.,181.,207.,189.,
159.,180.,160.,196.,82.,107.,148.,155.,206.,192.,180.,
205.,121.,199.,173.,177.,169.,93.,182.,127.,126.,187.,
166.,200.,190.,171.,151.,166.,156.,187.,174.,164.,214.,
139.,141.,178.,177.,243.,176.,186.,173.,182.,164.,162., ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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