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2 years ago

Which best describes a transformation that preserves the size, shape, and angles of an object?

1 answer:

3 0

The transformation is ISOMETRY.

In mathematics, an isometry (or congruence, or congruent transformation) is a distance-preserving transformation between metric spaces, usually assumed to be bijective. A composition of two opposite isometries is a direct isometry. A reflection in a line is an opposite isometry, like R 1 or R 2 on the image.

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Which of the following relations is a function?

Gnom [1K]

Answer:

the answer is C

Step-by-step explanation:

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2 years ago

· Hollywood Studios in Disneyworld is building a 2nd parking garage for The Muppets. The

Margarita [4]

Answer:

1264 and 632

Step-by-step explanation:

x + 2x = 1896

3x=1896

x=632

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2 years ago

What sum of money amounts to rupees 545 4 at 8% BA in 30 months

Mars2501 [29]

Answer:

let sum of money be x

amount=rupees5454

rate=8%

time=30 months

convert month into year

30/12=5/2 years

Step-by-step explanation:

interest=p*t*r/100

=x*5*8/100*2

=40x/200

=x/5

so to find principal use formula

amount=principal +interest

5454=x+x/5

5454=5x+x/5

5454*5=6x

27270/6=x

4545=x

therefore ,sum of money(principal)=rupees.4545

Hope this helps u!!

5 0

2 years ago

A set of test scores is normally distributed with a mean of 130 and a standard deviation of 30 What score is necessary to reach

nlexa [21]

Answer:

A score of 150.25 is necessary to reach the 75th percentile.

Step-by-step explanation:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

A set of test scores is normally distributed with a mean of 130 and a standard deviation of 30.

This means that $\mu = 130, \sigma = 30$