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Bingel [31]
3 years ago
7

Find the Value of X.

Mathematics
1 answer:
ArbitrLikvidat [17]3 years ago
5 0

Answer:

C

Step-by-step explanation:

∠ TUL + ∠ LUV = ∠ TUV , substitute values

x + 16 + 11x = 172 , that is

12x + 16 = 172 ( subtract 16 from both sides )

12x = 156 ( divide both sides by 12 )

x = 13 → C

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I NEED HELP ON THIS PLEASE
Drupady [299]

Answer:

at 12 hours, it's 9 inches.

at 14 hours, it's 14 inches.

at 13 hours it's 16 inches.

I'm not sure if you needed how many inches it snowed an hour, or if you just needed the hours and inches. My apologies.

3 0
3 years ago
Tell me which number you doing so I know what one your doing
liubo4ka [24]

Answer:

here you go

Step-by-step explanation:

1: equal to

2: the answer of two numbers added together is the sum

3: answer to a multiplication problem

6 0
3 years ago
Read 2 more answers
How do I work this out I need full answer im lost​
taurus [48]

Answer:

7x = 35cm ; 2x = 10cm

Step-by-step explanation:

7x and 2x are the lengths

7x+2x=45

Then you take 7 + 2 = 9

so is gonna be 9x = 45

then you divide both side with 9

so is gonna be x = 5

Then you take 5 multiply 7 : 2

so 7 x 5 = 35cm

2 x 5 = 10cm

7 0
3 years ago
BRAINLIEST GIVEN TO BEST ANSWER
lbvjy [14]

Answer:

Slope = \frac{1}{4}

Step-by-step explanation:

Slope of a straight line passing two points (x_1,y_1) and (x_2,y_2) is given by the formula,

m = \frac{y_2-y_1}{x_2-x_1}

From the graph attached,

Line is passing through two points (20, 5) and (80, 20),

Therefore, slope of the line will be,

m = \frac{20-5}{80-20}

m = \frac{1}{4}

The slope is \frac{1}{4}.

3 0
3 years ago
Suppose that birth weights are normally distributed with a mean of 3466 grams and a standard deviation of 546 grams. Babies weig
Anon25 [30]

Answer:

3.84% probability that it has a low birth weight

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

\mu = 3466, \sigma = 546

If we randomly select a baby, what is the probability that it has a low birth weight?

This is the pvalue of Z when X = 2500. So

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

Z = \frac{2500 - 3466}{546}

Z = -1.77

Z = -1.77 has a pvalue of 0.0384

3.84% probability that it has a low birth weight

3 0
3 years ago
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