ANSWER PLS! Dont just respond for the points pls

Mathematics

2 answers:

NARA [144]2 years ago

7 0

Answer:

Step-by-step explanation:

<u>Intersecting Secant-Tangent Theorem</u>

The square of the tangent is equal to the product of the external secant segment and the secant.

Given:

tangent = AE = 12
external secant segment = EC = 8
secant = ED = 18 + x

AE² = EC · ED

⇒ 12² = 8(18 + x)

⇒ 144 = 144 + 8x

⇒ 0 = 8x

⇒ x = 0

ED = 18 + x

= 18 + 0

= 18

dexar [7]2 years ago

3 0

The answer to the question in the photo is 21

You might be interested in

1 15/100 + 1/50 +1.175=

grin007 [14]

$1\frac{15}{100}+\frac{1}{50}+1.175 =\frac{115}{100}+\frac{1}{50}+1.175 =\frac{23}{20}+\frac{1}{50}+1.175 =\frac{115}{100}+\frac{2}{100} =\frac{115}{100}+\frac{2}{100} =\frac{115+2}{100} =1.175+\frac{117}{100} =1.175+1.17 =2.345$

<h3><em>You can write </em> $2.345$ <em> or </em> $2\frac{69}{200}$ <em></em></h3><h3><em></em></h3><h3><em>Hope I helped you!</em></h3><h3><em>Success!</em></h3>

6 0

2 years ago

Simplify Negative 15.6 divided by negative 4.

masha68 [24]

Simplify:

-15.6/-4

( $\frac{-15.6}{-4}$ )

Divide to solve:

You get 3.9

3 0

2 years ago

A worn, poorly set-up machine is observed to produce components whose length X follows a normal distribution with mean 14 centim

Akimi4 [234]

Answer:

74.86% probability that a component is at least 12 centimeters long.

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:

$\mu = 14$