right tail造句
造句与例句手机版
- The trunk lid included a black panel that united the left and right tail lamp clusters.
- The distribution of a random variable " X " with distribution function " F " is said to have a heavy right tail if
- The leaky thruster is a directly pointed jet, but it shares a fuel line with one of two crucial, gently angled thrusters on the right tail pod.
- Checking similar data, I have found that MPG values tend to be strongly skewed to the low end because the left tail is much longer than the right tail.
- In these cases exclude connection for right tail light ( 58R ) and rear fog light ( 54G ) and connect the tail lights only to pin for left tail light ( 58L ).
- "Some of it up, some of it out, some of it sideways, " said Wetherbee in describing the small leak from a thruster in the right tail propulsion pod.
- Since you ( hopefully ) wouldn't dream of deleting the article on IQ, why delete one of the few societies pioneering its use and measurement on the far right tail of the bell curve?
- The distribution of a random variable " X " with distribution function " F " is said to have a long right tail if for all " t " > 0,
- A simple example illustrating these relationships is the binomial distribution with " n " = 10 and " p " = 0.09 . This distribution when plotted has a long right tail.
- Power-law distributions, unlike bell curves, have a lot of their mass far out in the right tail _ which means, in this particular case, that a large share of the total wealth is held by a small number of families.
- It's difficult to see right tail in a sentence. 用right tail造句挺难的
- If one wishes to combine p-values ( right tail probabilities ) of the statistical tests based on data from three separate wards, one must introduce a correction according to the number of tests, as a result of which the chance becomes one in a million.
- Since the value of x that defines the left tail or right tail event is a random variable, this makes the " p "-value a function of x and a random variable in itself defined uniformly over [ 0, 1 ] interval, assuming x is continuous.
- If the signal happens to be periodic, i . e . x = ( \ ldots, 2, 3,-1, 2, 3,-1, \ ldots ), then we get a circular autocorrelation ( similar to circular convolution ) where the left and right tails of the previous autocorrelation sequence will overlap and give R _ { xx } = ( \ ldots, 14, 1, 1, 14, 1, 1, \ ldots ) which has the same period as the signal sequence x.
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