The construction of histograms from sample data

Kruger, P.S. (Paul Stephanus), 1944-

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dc.contributor.upauthor	Kruger, P.S. (Paul Stephanus), 1944-
dc.date.accessioned	2008-07-16T07:12:58Z
dc.date.available	2008-07-16T07:12:58Z
dc.date.created	2008-07-13
dc.date.issued	2008-07-16T07:12:58Z
dc.description	Microsoft Excel Spreadsheet with interactive hyperlinks and activities.	en
dc.description.abstract	A Histogram is one of the most important tools of descriptive statistics. It provides a Graphical estimation of the Distribution and Statistical Characteristics of the underlying stochastic process from which the sample has been taken. Whenever one is faced with a data set, consisting of n unordered observations from a stable stochastic process, the construction of a histogram should be one of the very first steps in the process of analyzing the data. If the sample size is small it may be difficult to obtain a useful histogram. The choice of the number of intervals, interval size, location and the range is the user's responsibility.	en
dc.format.extent	428544 bytes
dc.format.mimetype	application/vnd.ms-excel
dc.identifier.uri	http://hdl.handle.net/2263/6162
dc.language.iso	en	en
dc.rights	University of Pretoria	en
dc.subject	Cumulative histogram	en
dc.subject	Construction of histograms	en
dc.subject	Class intervals	en
dc.subject	Sample size	en
dc.subject	Distribution function	en
dc.subject	Cumulative distribution	en
dc.subject	Percentiles	en
dc.subject	e-Stats
dc.subject.lcsh	Autocorrelation (Statistics)
dc.subject.lcsh	Cumulants
dc.subject.lcsh	Statistics -- Data processing
dc.subject.lcsh	Sampling (Statistics)
dc.title	The construction of histograms from sample data	en
dc.type	Learning Object	en