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3 years ago

Answer ASAP/. What is 2 1/2 and 2.4 and 2.35 and 2 1/8 listed and greatest to least// I need the answer ASAP

2 answers:

8 0

Since 1/2=0.5 and 1/8=0.125, we have 2.5, 2.4, 2.35, and 2.125. The first number we look for is the one to the left, and they're all the same, so that doesn't necessarily help. Next, we have a 5, 4, 3, and 1. They're already in order from greatest to least, so that's awesome!

devlian [24]3 years ago

4 0

2 1/2 = 5/2 = decimal: 2.5

2 1/8 =17/8 = decimal: 2.125

2.4 = 2.4

2.35 = 2.35

Your answer will be:
2.5 ➡️2.4 ➡️ 2.35➡️2.125

•For #1 ) to find our "mixed fraction" we had to multiply 2 from 2 which gives us 4 then we added 4 to 1 which gives us 5 ... we had to keep the denominator same
•For #2 we had multiply 2 from 8 which gives us 16 then we added the 16 to the 1 which gives us 17 , we kept the denominator as 8

•••For the mixed number/fractions just work it out, and divide as soon as you're done working them out!•••

Good luck on your assignment and enjoy your day!

~MeIsKaitlyn:)

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3 years ago

Which of the following is not a solution for the inequality 3x +2 < 12?

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$3x+2 < 12\ \ \ \ |-2\\\\3x < 10\ \ \ \ |:3\\\\x < \dfrac{10}{3}\\\\x < 3\dfrac{1}{3}\\\\x=2 < 3\dfrac{1}{3}\\\\x=2.5 < 3\dfrac{1}{3}\\\\x=3 < 3\dfrac{1}{3}\\\\x=3.5-Answer$

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3 years ago

What is 2 X (6+ 2 + 8) -4

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Answer:

The correct answer is 32x - 4

Step-by-step explanation:

1) Simplify 6 + 2 to 8.

$2x(8 + 8) - 4$

2) Simplify 8 + 8 to 16.

$2x \times 16 - 4$

3) Simplify 2x × 16 to 32x.

$32x - 4$

Therefor, the answer is 32x - 4.

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3 years ago

According to the National Vital Statistics, full-term babies' birth weights are Normally distributed with a mean of 7.5 pounds a

Sav [38]

Answer:

68.26% probability that a randomly selected full-term pregnancy baby's birth weight is between 6.4 and 8.6 pounds

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:

$\mu = 7.5, \sigma = 1.1$