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2 years ago

Put these numbers in order from least to greatest: -4 2/5 -4.5 -5.1 -4.45 -5 -

Mathematics

2 answers:

velikii [3]2 years ago

6 0

Answer:

-5.1, -5, -4.5,-4.45,-4 2/5,

Step-by-step explanation:

Lets put all the number in decimal form from least to greatest.

-4 2/5= -4.4

Remember the lower the negative integer is, the higher it is on the number line.

-5.1, -5, -4.5, -4.45, -4 2/5,

liberstina [14]2 years ago

3 0

Answer:

-5.1, -5, -4.5, -4.45,-4 2/5

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Determine which ordered pair is a solution of y=8X

Amanda [17]

<span>A.(0,8) B.(-1,8) C.(1.5,10) D.(2,16)

Simply substitute the value of x to get the value of y.

y = 8x

(0,8) y = 8(0) ; y = 0

(-1,8) y = 8(-1) ; y = -8

(1.5,10) y = 8(1.5) ; y = 12

(2,16) y = 8(2) ; y = 16

The correct ordered pair is D. (2,16)</span>

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2 years ago

A number multiplied by -8, subtracted from the sum of 14 and five times the number

Charra [1.4K]

Let us suppose the number is x. Now we try to make an algebraic expression going step by step.

Step 1:

Five times the number means 5 multiplied by x.

So it becomes 5x.

Step 2:

Sum of 14 and five times the number means 5x+14.

Step 3:

Number multiplied by -8 means -8x.

Step 4:

Subtract the expression in step (3) from expression in step (2)

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Now we can simplify it further,

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2 years ago

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Svetllana [295]

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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 $\mu = 20.5, \sigma = 0.9$