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3 years ago

A rectangular room is four times as long as it is wide, and its perimeter is 70 meters. Find the width of the room.

2 answers:

8 0

W=3/4L
P=2L=2W
70=2L+2(3/4L)
70=2L+6L/4
70=2L+1.5L
70=3.5L
L=70/3.5
L=20 FT. ANS. FOR THE LENGTH.
W=4/4*20=15 ANS. FOR THE WIDTH

i think.

Roman55 [17]3 years ago

4 0

2(4w) + 2w = 70
8w + 2w = 70
10w = 70
W= 7 m

Again, you just have to learn to make the equations. :)

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A projector enlarges an image in the ratio 20:1. What will be the size of an enlargement of a picture that is 8cm by 6cm?

nydimaria [60]

Answer:

160 cm × 120 cm

Step-by-step explanation:

this means 1 cm turns into 20 cm.

so, 8 cm × 6 cm becomes

8×20 = 160 cm × 6×20 = 120 cm

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1 year ago

Bagels: six in a bag Apples: eight in a bag Cookies: twelve in a box Juice Boxes: nine in a box Find the least number of package

morpeh [17]

Bagels 6x12=72
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3 years ago

Convert 185 degrees Celsius to degrees Fahrenheit. Round your answer to the nearest degree

lakkis [162]

Hello! :3

Answer:

The Correct Answer is 365 °F

Step-by-step explanation:

The C to F formula is $(C ~x~ 9/5) + 32 = F$

When we do 185 for C in the formula, we get $(185 ~x~ 9/5) + 32 = F.$

To solve, $(185 ~x~ 9/5) + 32 = F.$ we first multiply 9 by 185, then we divide the product by 5, and then finally we add 32 to the quotient to get the answer.

$185~x~9=1665$

$1665 /5=333$

$333+32=355$

Therefore, the answer to 185 C to F is 365 which can be written like this

⇒ 185 °C = 365 °F

hope this helps you!

Have an Awesome Thursday!

$-Joseph-$

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2 years ago

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Bas_tet [7]

Hello can you plz do this in English so I can help

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2 years ago

Consider the probability that no less than 96 out of 145 people will not get the flu this winter. Assume the probability that a

dsp73

Answer:

0.1324 = 13.24% probability that no less than 96 out of 145 people will not get the flu this winter.

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 samples 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 $\mu = E(X)$ , $\sigma = \sqrt{V(X)}$ .