If it is 1:10 in virginia right now and its 6:10 in england how many hours are they apart

Divide the number 480 in a ratio of 3:5

Schach [20]

If it is a ratio of 3:5 you are dividing 480 into 8 parts (3+5).

So divide 480 by 8: 480/8 = 60

Then the ratio is (3x60):(5x60) or 180:300

To check it is correct, add up the two parts to see that they come to 480:

180+300 = 480. All good.

Hope this helps

6 0

3 years ago

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There are 5 slides, i've provided image for them all i need help with it. if your going to answer write it in order from slide 1

Nana76 [90]

Answer:

mark as brainleast and fo-ll-ow me

6 0

2 years ago

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Find the Area of the figure below, composed of a rectangle and a semicircle. Round to

chubhunter [2.5K]

Answer:

Area = 74.1 square units

Step-by-step explanation:

Area of the composite figure = Area of the rectangle + Area of the semicircle

Area o the rectangle = Length × Width

= 10 × 6

= 60 square units

Area of the semicircle = $\frac{1}{2}\pi r^{2}$

Here, r = radius of the semicircle

For the semicircle with radius = $\frac{6}{2}$ = 3 units

Area = $\frac{1}{2}\pi (3)^{2}$

= 4.5π

= 14.14 units²

Total area of the composite figure = 60 + 14.14

= 74.14 square units ≈ 74.1 square units

3 0

3 years ago

6.141359<br><br> How I can round to the nearest ten-thousandth

Dvinal [7]

Answer:

6.1414

Step-by-step explanation:

The ten-thousandth is in the fourth place after the decimal point, then add the rounding rule, (4 or lower, do nothing. 5 and up, round up) and you get 6.1414

6 0

2 years ago

Suppose that 11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to

attashe74 [19]

Answer:

0.9726 = 97.26% approximate probability that X is at most 30

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

$E(X) = np$

The standard deviation of the binomial distribution is:

$\sqrt{V(X)} = \sqrt{np(1-p)}$

Normal probability distribution

Problems of normally distributed distributions can be 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.

When we are approximating a binomial distribution to a normal one, we have that $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .