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A skein is a unit of length which has been used in the UK. [1] As a measuring unit of cotton yarn or of silk , a skein equates to a "rap" or a "lea". [ 2 ] One skein is equivalent to 360 feet (109.73 m).
While hanks may differ by manufacturer and by product, a skein is usually considered 1/6th of a hank (either by weight or by length). One source identifies a skein of stranded cotton as being 8.25 yards (7.54 m), of tapestry wool as being 10 yards (9.1 m), and crewel wool as being 33 yards (30 m).
P-chart; P–P plot; Parallel coordinates; Pareto chart; Pareto principle; Parity plot; Partial regression plot; Partial residual plot; Pictogram; Pie chart; William Playfair; Poincaré plot; Population pyramid; Price-Jones curve; Probability plot correlation coefficient plot; Process window index
Skein / s k eɪ n / may refer to: A flock of geese or ducks in flight; A wound ball of yarn with a centre pull strand; see Hank; A metal piece fitted over the end of a wagon axle, to which the wheel is mounted; Skein (unit), a unit of length used by weavers and tailors; Skein dubh, a Scottish knife; Skein module, a mathematical concept
A simple unit is one which represents a single condition without any qualification. A composite unit is one which is formed by adding a qualification word or phrase to a simple unit. For example, labour-hours and passenger-kilometer. Unit of analysis and interpretation: units in terms of which statistical data are analyzed and interpreted.
A wrap reel or skein winder is a device for measuring yarn and making it into hanks of a standard size. The reel is of a standard size and its revolutions are counted as the yarn is wrapped around it. Typically, a set number of revolutions will be used so that the hank is of a standard size—skein or lea.
Random variables are usually written in upper case Roman letters, such as or and so on. Random variables, in this context, usually refer to something in words, such as "the height of a subject" for a continuous variable, or "the number of cars in the school car park" for a discrete variable, or "the colour of the next bicycle" for a categorical variable.
Standardization of the coefficient is usually done to answer the question of which of the independent variables have a greater effect on the dependent variable in a multiple regression analysis where the variables are measured in different units of measurement (for example, income measured in dollars and family size measured in number of individuals).