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normal distribution

normal distribution

2 5.8
A bell-shaped curve where most values are near the average
  • noun
  • /ˈnɔrməl dɪsˈtrɪbjuːʃən/
  • Specialized
translation icon : distribución normal
  • The heights of adult males in a given population typically form a normal distribution, with most individuals close to average height.
  • a standard normal distribution
  • assume a normal distribution
  • approximate a normal distribution

We're taught that in schools by there being a normal distribution for grades.

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Examples

  • So this is called the normal distribution or the Gaussian distribution.

  • The assumption of a normal distribution may not meet the needs of some situations.

    Academic text (1992)
  • We're taught that in schools by there being a normal distribution for grades.

  • You've mentioned the normal distribution, so let's talk about it.

  • With these two parameters known, the normal distribution curve for flow intensity can be easily constructed.

    Academic text (1996)
  • Now if you have a symmetric distribution like the standard normal distribution, then the mean and median are identical.

  • Alternatively, if we assume a normal distribution, we can develop a 0.95 confidence interval.

    Academic text (1992)
  • When the criteria for normal distribution were not met, non-parametric methods were used for comparisons.

    Academic text (2000)
  • A Kolmogorov-Smirnov test revealed that predicted yield values in each subgroup show a normal distribution.

    Academic text (2017)
  • Scores on these three scales show close to normal distributions in nonclinical samples of both men and women.

    Academic text (2004)

Synonyms

bell curve
vsnormal distribution
  • Specialized
7 4.6

A curved line on a graph showing most results near the average and fewer at the ends

is the statistical model describing probabilities relative to the mean
Gaussian
vsnormal distribution
  • Specialized
1 7.5

A bell-shaped curve used in statistics to show how values spread

is the probabilistic pattern that this mathematical form represents in statistics
Gaussian distribution
vsnormal distribution
  • Specialized
1 6.7

A bell-shaped pattern that shows most values are near the average, like heights or test scores

is the common statistical name for that same probability pattern
bell-shaped curve
vsnormal distribution
  • Specialized
1 4.2

A curve shaped like a bell that shows most values near the average

expresses the same symmetry but as a formal probability distribution
normal curve
vsnormal distribution
  • Specialized
4.6

A bell-shaped line that shows most numbers near the middle and fewer far from it

is the general statistical label for that same symmetric pattern
Gaussian curve
vsnormal distribution
  • Specialized
7.2

A bell-shaped curve the same on both sides that shows how values are near the average

is the underlying probability model emphasizing values clustering near the mean
Gaussian shape
vsnormal distribution
  • Specialized
6.9

A smooth bell-shaped curve that shows how values spread around the average

focuses on probability behavior near the mean rather than only the visual form

How Concentrated

leptokurtic
  • Specialized
9.9
frequency distribution
  • Specialized
1 4.7
normal distribution
  • Specialized
2 5.8
equidistribution
  • Specialized
9.9

Surface Forms

Morphology

normal + distribution

The compound literally combines 'normal' (typical) and 'distribution' (how values are spread), so a B1 learner who knows both words can infer a rough meaning — a typical or standard way data are distributed. However, the precise statistical properties (symmetry about the mean, bell-curve shape and probability interpretation) are technical and not predictable from the constituents alone, so full comprehension requires prior exposure or instruction.

Etymology

Normal distribution comes from a simple picture: a bell-shaped curve that is highest in the middle and low at the sides, so most values are near the 'average' and only a few are far away. That's why normal distribution describes data where most numbers are 'typical' and close to the 'average'.