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If you plot data they must take some shape (or another)! Data distributions can take all kinds of shapes. The only constraints are that
- they cannot be negative and
- the integral (sum) over all possible values is 1.
The shapes can be flat (uniform distribution), symmetric (uniform or Gaussian), asymmetric with one peak somewhere in the middle (Poisson), asymmetric with a peak at an end (exponential). These are examples of different shapes that are attained by common continuous data distributions.
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What is the shape of a 8 sided shape?
It is called an octagon and an irregular octagon can take any shape.
How do you calculate the range of data?
You take the largest number in the Set of data and then subtract it from the smallest number in that data
What shape does ch4 take?
Methane is a gas and so takes the shape of the container that it is in.
What is an inter-decile range?
where you take away the 10% of the data from 90% of the data
How many shapes have curved sides?
Infinitely many. If you take a ball of dough, for example, and gently push a bit in, you will have a different shape. Do it again, another shape. And so on.Infinitely many. If you take a ball of dough, for example, and gently push a bit in, you will have a different shape. Do it again, another shape. And so on.Infinitely many. If you take a ball of dough, for example, and gently push a bit in, you will have a different shape. Do it again, another shape. And so on.Infinitely many. If you take a ball of dough, for example, and gently push a bit in, you will have a different shape. Do it again, another shape. And so on.
