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3 years ago

Urgent:

Mathematics

1 answer:

rjkz [21]3 years ago

5 0

Step-by-step explanation:

<h3>Given:</h3>

CM ⊥ AB
∠3 = ∠4

<h3>To prove: </h3>

△AMC ≅ △BMC

<h3>Solution:</h3>

∠ACM≅∠BCM - given

<u>CM⊥AB - given, therefore</u>

∠AMC = 90° and ∠BMC = 90°

∠AMC ≅ ∠BMC

Side CM is common, therefore is congruent to itself

<u>So we have congruent two angles and a side between them on triangles AMC and BMC:</u>

△AMC ≅ △BMC as per ASA congruency theorem

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PLZ EXPLAIN HOW TO DO THIS

Hitman42 [59]

Hello! Sorry, this took a minute.

All of the x's are on the same line, and they are equal to 180 degrees.

2x+x+3x+x=180

A straight line equals 180.

Combine like terms.

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Divide both sides by 7.

25.714... round to 25.7

Now, plug that into the angle that is vertical to 2y. (3x)

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Plug that in.

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3 years ago

What is the difference between an estimator and an estimate?

natka813 [3]

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3 years ago

I need to know what the difference of this expression is.<br><br>(4 - 5i) - (12 + 11i)

Juli2301 [7.4K]

Answer: -10-16i

Step-by-step explanation:

Given

(4-5i)-(12+11i)

Expand parenthesis

2-5i-12-11i

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(2-12)-(5i+11i)

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3 years ago

a proportional relationship is represented on a graph with a line that had a slope of 65. what is the unit rate of the relations

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Step-by-step explanation:

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3 years ago

The following distribution shows the frequency of daily revenue for an Italian restaurant in Wilmington, Delaware. Revenue Frequ

sergejj [24]

Answer:

The probability that a randomly selected day will generate more than $6,000 in revenue is 0.325.

Step-by-step explanation:

The frequency distribution of daily revenue for an Italian restaurant in Wilmington, Delaware is:

<u>Revenue</u> <u>Frequency</u>

Under $2,000 18

$2,000 - $4,000 10

$4,000 - $6,000 26

$6,000 - $8,000 14

$8,000 - $10,000 8

Over $10,000 4

Total 80

The probability of an event <em>E</em> is defined as:

$P(E)=\frac{n(E)}{N}$

Here,

n (E) = favorable outcome

N = total outcomes

The favorable outcomes of the event <em>X</em> : "more than $6,000 in revenue" is defined as:

n (X) = 14 + 8 + 4 = 26

Total number of outcomes is, <em>N</em> = 80.

Compute the probability of the event <em>X</em> is:

$P(X)=\frac{n(X)}{N}=\frac{26}{80}=0.325$

Thus, the probability that a randomly selected day will generate more than $6,000 in revenue is 0.325.

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3 years ago