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3 years ago

How many times do 5 go into 8

Mathematics

2 answers:

seraphim [82]3 years ago

6 0

Answer:

1 time :)

Step-by-step explanation:

devlian [24]3 years ago

5 0

Answer:

It can only go into 8 once

8÷5=1.6

Step-by-step explanation:

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olga_2 [115]

Answer:

its the one where the line starts at 50

Step-by-step explanation:

8 0

3 years ago

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How can you rewrite the problem so that the divisor is a whole number?<br> 4.7 divided by 13.6

Olenka [21]

How do I rewrite a problem so that the divisor is a whole number? Move the decimal point enough places to the right to make the divisor a whole number. You must move the decimal point in the dividend the same number of places to the right.
4.7 divided by 13.6 is 47/136

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2 years ago

Please help me what is 1462 ÷ 58 as a mixed number then put it in simplest form

cestrela7 [59]

25.20, that might help you hopefully!

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3 years ago

Jamie is making a beaded necklace the ratio of blue beads to purple beads is 4:3 if jamie uses 56 blue beads and purple beads to

blsea [12.9K]

She will use 42 purple beads.

Explanation
We will use a proportion to solve this.

The ratio of blue to purple beads is 4:3, or 4/3.
We know she uses 56 blue beads and an unknown amount, x, of purple beads. This gives us 56/x.

Together, we have
4/3 = 56/x

Cross multiply:
4*x = 3*56
4x = 168

Divide both sides by 4:
4x/4 = 168/4
x = 42

8 0

3 years ago

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The amount of time Ricardo spends brushing his teeth follows a Normal distribution with unknown mean and standard deviation. Ric

Papessa [141]

Let $X$ denote the number of minutes spent brushing his teeth, and let $\mu$ be the mean and $\sigma$ the standard deviation for this distribution.

$\mathbb P(X$

The z-score corresponding to this probability is approximately $z=-0.2533$ , which means

$\dfrac{1-\mu}\sigma=-0.2533\iff\mu-0.2533\sigma=1$

Next, (note the sign change)

$\mathbb P(X>2)=0.02\implies\mathbb P(X\le2)=\mathbb P\left(\dfrac{X-\mu}\sigma\le\dfrac{2-\mu}\sigma\right)=0.98$

The corresponding z-score is approximately $z=2.0538$ , so you have

$\dfrac{2-\mu}\sigma=2.0538\iff\mu+2.0538\sigma=2$

Solving the two equations for $\mu$ and $\sigma$ , you'll find that the mean is approximately $\mu=1.1098$ and the standard deviation is approximately $\sigma=0.4334$ .

7 0

3 years ago