distribution curve उदाहरण वाक्य

उदाहरण वाक्य

1. :: : Scientific talent also falls on a Gaussian distribution curve and for the majority at the mean, those outside two standard deviations can appear as unacceptably different.
2. The roughness trace is on the left, the amplitude distribution curve is in the middle, and the bearing area curve ( Abbott-Firestone curve ) is on the right.
3. These resembled sections of normal distribution curves, and demonstrated that statistical analysis of data from arbitrary levels could reveal chronological change just as could data from physically distinct strata.
4. The two subjects were no longer graded along the normal distribution curve but rather by criteria referencing ( with the exception of the highest grade, the 5 * ).
5. The stability of travel times and distribution curves over the past three decades gives a good basis for the application of aggregate trip distribution models for relatively long term forecasting.
6. His time-effort distribution curves " are among the most oft-cited sources for researchers interested in mainstreaming building information modeling ( BIM ) implementation in the architecture, engineering and construction ( AEC ) industry ."
7. Being a scientific sort, Birney calculated the mean ( 62, 598 ), the median ( 53, 700 ) and posted the distribution curve on the Web ( www . ensembl . org / genesweep . html ).
8. While Dr . Shewhart drew from pure mathematical statistical theories, he understood data from physical processes never produce a " normal distribution curve " ( a Gaussian distribution, also commonly called a " bell curve " ).
9. While Shewhart drew from pure mathematical statistical theories, he understood that data from physical processes typically produce a " normal distribution curve " ( a Gaussian distribution, also commonly referred to as a " bell curve " ).
10. As William Safire notes in his etymology of the term, a fat tail occurs when there is an unexpectedly thick end or  tail toward the edges of a distribution curve, indicating an irregularly high likelihood of catastrophic events.