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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).
In statistical process control (SPC), the ¯ and R chart is a type of scheme, popularly known as control chart, used to monitor the mean and range of a normally distributed variables simultaneously, when samples are collected at regular intervals from a business or industrial process. [1]
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.
The normal distribution is the basis for the charts and requires the following assumptions: The quality characteristic to be monitored is adequately modeled by a normally-distributed random variable; The parameters μ and σ for the random variable are the same for each unit and each unit is independent of its predecessors or successors
Considerations of the shape of a distribution arise in statistical data analysis, where simple quantitative descriptive statistics and plotting techniques such as histograms can lead on to the selection of a particular family of distributions for modelling purposes. The normal distribution, often called the "bell curve" Exponential distribution
The most common unit of information is the bit, or more correctly the shannon, [2] based on the binary logarithm. Although bit is more frequently used in place of shannon , its name is not distinguished from the bit as used in data processing to refer to a binary value or stream regardless of its entropy (information content).
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.