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3 years ago

Pls help with sum geometry

Mathematics

2 answers:

erica [24]3 years ago

7 0

Answer:

$\Large \boxed{\mathrm{D}}$

Step-by-step explanation:

The triangles can be proven by AA or Angle-Angle similarity.

$\angle QUR \cong \angle TUS$

The vertical angles are congruent.

$\angle R \cong \angle S$

The alternate interior angles are congruent.

kaheart [24]3 years ago

4 0

YES! quite easily.

I hope you can see the two pairs of corresponding angles between the parallel lines. they'll be equal

and then there's a pair of vertically opposite angle at centre.

that means all pairs of corresponding angles are equal, thus, triangles are similar by AAA

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What is 43.2÷16= in partial quotients

sergejj [24]

43.2\16= 2.7 hope this helps

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3 years ago

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in a test correct answer are given positive numbers and for incorrect negative numbers jack scored in successive rounds were-65,

eimsori [14]

Answer:

Jack scored a total of -40

Step-by-step explanation:

Arithmetic

Jack took a test where the correct answers are given as positive numbers and the incorrect answers are negative numbers.

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-65,-10,-15,20,30

The total score is the arithmetic sum of all scores, including their signs:

Total score: -65-10-15+20+30

Total score: -40

Jack scored a total of -40

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3 years ago

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denis23 [38]

32 divided by 2 would equal 16 sunny days.

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3 years ago

The perimeter of a rectangular field is 360yd. The length is 20yd longer than the width. Find the dimensions

Tju [1.3M]

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To sum things up, Length = 110; Width = 70. | 110*2 = 220, 70 * 2 = 140, 220+140 = 360.

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3 years ago

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irina1246 [14]

Answer:

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Step-by-step explanation:

All the information given in the question tells us that the human body temperatures are normally distributed with a population's mean = 98.20°F and a standard deviation = 0.62°F.

The question gives us Sally's temperature in a z-score. We have to remember that the standard normal distribution is a particular case of a normal distribution where the mean = 0 and the standard deviation = 1.

Using the standard normal distribution, we can determine every probability associated with a normal distribution "transforming" the raw scores, coming from normally distributed data, into z-scores.

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The formula for a z-score is as follows:

$\\ z = \frac{x - \mu}{\sigma}$ (1)