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The P program can be used for studies with dichotomous, continuous, or survival response measures. The user specifies the alternative hypothesis in terms of differing response rates, means, survival times, relative risks, or odds ratios.
The table shown on the right can be used in a two-sample t-test to estimate the sample sizes of an experimental group and a control group that are of equal size, that is, the total number of individuals in the trial is twice that of the number given, and the desired significance level is 0.05. [4]
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.
Normalized (convex) weights is a set of weights that form a convex combination, i.e., each weight is a number between 0 and 1, and the sum of all weights is equal to 1. Any set of (non negative) weights can be turned into normalized weights by dividing each weight with the sum of all weights, making these weights normalized to sum to 1.
Pennsylvania Spatial Data Access (PASDA), [4] the official public geospatial data clearinghouse for the Commonwealth of Pennsylvania marked its 18th year in 2014. PASDA, which has grown from a small website offering 35 data sets in 1996 to the expansive user-centered data clearinghouse that it is today, has become a staple of the GIS community in Pennsylvania.
{{Historical populations}} is used as an information box on pages showing each census year with a population and a percent gain/loss comparison. It is intended to combine the functionalities of two existing templates, Template:US Census population and Template:Histpop, the former of which is specialized for the United States, and the latter of which lacks many features of the former.
To apply a Q test for bad data, arrange the data in order of increasing values and calculate Q as defined: = Where gap is the absolute difference between the outlier in question and the closest number to it. If Q > Q table, where Q table is a reference value corresponding to the sample size and confidence level, then reject the questionable ...
The dinosaur data set created by Alberto Cairo that inspired the creation of the Datasaurus Dozen. The first data set, in the shape of a Tyrannosaurus, that inspired the rest of the "datasaurus" data set was constructed in 2016 by Alberto Cairo. [7] [8] It was proposed by Maarten Lambrechts that this data set also be called "Anscombosaurus". [7]