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sukhopar [10]
2 years ago
13

Here are 4 triangles that have each been transformed by a different transformation.

Mathematics
1 answer:
Ugo [173]2 years ago
4 0

This is about understanding rigid transformations.

<u><em>Option 4 is not a rigid transformation.</em></u>

  • In mathematics, transformation could be;

Rigid Transformation; This includes reflection, rotation, translation.

Non - Rigid Transformation; This includes dilation and shear.

  • Now, a transformation is said to be a rigid transformation when the newly transformed image retains the same shape and size as it was before it was transformed. Although it can change position.

Whereas, it is termed non - rigid transformation if the shape or size changes.

Let us look at the triangles in the option;

  • Option 1; In this  option, we see that the two triangles maintain the same shape and size and thus the transformation is rigid.

  • Option 2; In this  option, we see that the two triangles maintain the same shape and size and thus the transformation is rigid.

  • Option 3; Similar to options 1 & 2, we see that the two triangles maintain the same shape and size and thus the transformation is rigid.

  • Option 4; We see that one of the triangles is bigger than the other. Since the transformed triangle is not the same size as it was before transformation, then it is not a rigid transformation.

Read more at; brainly.com/question/16979384

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Answer:

The probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.

Step-by-step explanation:

Let <em>X</em> = number of students arriving at the 10:30 AM time slot.

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A random variable representing the occurrence of events in a fixed interval of time is known as Poisson random variables. For example, the number of customers visiting the bank in an hour or the number of typographical error is a book every 10 pages.

The random variable <em>X</em> is also a Poisson random variable because it represents the fixed number of students arriving at the 10:30 AM time slot.

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The probability mass function of <em>X</em> is given by:

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Compute the probability of <em>X</em> = 2 as follows:

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Thus, the probability that in a randomly selected office hour in the 10:30 am time slot exactly two students will arrive is 0.2241.

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