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4 years ago

Is 1.25 the same as 25%???????????????????????

Mathematics

1 answer:

Gelneren [198K]4 years ago

8 0

Answer:

It depends on what your original amount is

Step-by-step explanation:

If the original value is 5, then yes 1.25 is 25% of five. If not, then they are not the same.

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Which reason supports the true statement that angle1 and angle8 are supplementary?

elena-s [515]

Angles 1 and 8 are created by line t intersecting with line m.

Line t is called a transversal line, because it intersects 2 parallel lines.

t divides the straight angle formed by m alone, forming the linear pair of angles (1) and (8), whose sum is 180 °, that is they are supplementary.

Answer: (1) and (8) are linear pairs

8 0

3 years ago

Read 2 more answers

What is the measure of ∠A, the exterior angle of the triangle shown below? F. M∠A = 92°, because 180 – (50 + 38) = 92. G. M∠A =

hjlf

Answer: A is 88

Step-by-step explanation:

Sum of all angles is 180 degree.

Let the third interior angle be x.

38+50+x=180

88+x=180

x= 92

A and X are in linear pair.

A+X=180

A+92=180

A=88

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3 years ago

The sum of two consecutive integers is greater than 50. Could 25 be one of the numbers?

AlekseyPX

Answer:

Yes. 25 and 26 equal 51, so one of the consecutive numbers could be 25.

Step-by-step explanation:

6 0

3 years ago

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Justify each step of this inequality by stating the property that was used to get to each step.

Allushta [10]

Answer:

Step-by-step explanation:

step 1 simplified like terms -11k +3k =8k

step 2 incorrect should be -4k -20 on the left side distributive property

step 3 added 8k to each side

step 4 added 20 to each side

step 5 divided each side by 4

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3 years ago

Lengths of full-term babies in the US are Normally distributed with a mean length of 20.5 inches and a standard deviation of 0.9

mash [69]

Answer:

66.48% of full-term babies are between 19 and 21 inches long at birth

Step-by-step explanation:

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 length of 20.5 inches and a standard deviation of 0.90 inches.

This means that $\mu = 20.5, \sigma = 0.9$