rectangular distribution

rectangular distribution

[rek′taŋ·gyə·lər ‚dis·trə′byü·shən]
(statistics)
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In a rectangular distribution, all the values within a range--from the lowest to highest--are equally probable.
1] and rectangular distribution (equal possibility over the entire interval) are assumed.
Standard uncertainty at supposed rectangular distribution is therefore:
Although this gap decreases with A, it is always correct to say that the deadweight loss per dollar tax revenue is greater for the rectangular distribution.
t*, the level of the optimal per unit tax is greater for the rectangular distribution than for the identical distribution, and this gap increases proportionally with A.
d) From (a) and (c) it is clear that the total deadweight loss to society is always much greater under a rectangular distribution than under an identical (homogenous population) distribution.
In the case of heterogeneous customers with a rectangular distribution, the average or median customer is "located" at A/2, and thus has a reservation price of A/2.
The actual parabolic concrete stress-strain curve can be replaced by an equivalent rectangular distribution.
The rectangular distribution manifold maintains a constant 4: I aspect ratio down its entire length and starts with dimensions identical to those of the rectangular channel.
In statistical terms, the sale data created what would be termed a rectangular distribution, certainly not a normal distribution in a classical statistical sense.
If the limited amount of sale data available are fit to a probability curve, it is most likely that a rectangular distribution will occur; in actual practice a few small molehills may pop up every so often along the X axis, rather than a smooth normal distribution.