How to find a missing measure of a triangle

Mathematics

1 answer:

bulgar [2K]3 years ago

3 0

Answer:

To determine to measure of the unknown angle, be sure to use the total sum of 180 degrees.

Step-by-step explanation:

if two angles are given , then add them together and the subtract from 180 degrees. if two angles are the same and unknow, subtract the know angle from 180 degrees and then divide by two hope this helps

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Alex Ar [27]

Answer:

ADB and ABC are similar

x = 8

Step-by-step explanation:

hypotenuse in ADB = $\sqrt{4^2 + 2^2 } = \sqrt{20}$

since two triangles are similar,

$\frac{2+x}{\sqrt{20} } = \frac{\sqrt{20}}{2}$

solving for x, x=8

4 0

3 years ago

How do you identify like terms?<br> Like terms are separated by<br> or

Natali [406]

Answer:

Step-by-step explanation:

Terms are separated by addition or subtraction in an expression. Recall that a monomial is a single term, a binomial has two terms, a trinomial has three terms and a polynomial has many tearms

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3 years ago

The resting heart rate for an adult horse should average about µ = 47 beats per minute with a (95% of data) range from 19 to 75

KatRina [158]

Answer:

a. 0.0582 = 5.82% probability that the heart rate is less than 25 beats per minute.

b. 0.1762 = 17.62% probability that the heart rate is greater than 60 beats per minute.

c. 0.7656 = 76.56% probability that the heart rate is between 25 and 60 beats per minute

Step-by-step explanation:

Empirical Rule:

The Empirical Rule states that, for a normally distributed random variable:

Approximately 68% of the measures are within 1 standard deviation of the mean.

Approximately 95% of the measures are within 2 standard deviations of the mean.

Approximately 99.7% of the measures are within 3 standard deviations of the mean.

Normal Probability Distribution:

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

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean:

$\mu = 47$