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77julia77 [94]
3 years ago
9

Find the width of a rectangle is the perimeter is 56 cm and the length is 15 cm.

Mathematics
1 answer:
MrMuchimi3 years ago
4 0

Answer:

13cm

Step-by-step explanation:

P=2l+2w

56=2(15)+2w

56=30+2w

26=2w

w=13

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Please help fast, thank you! I only have 20 minutes! I always appreciate your help!
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Answer:

ur missing the question

Step-by-step explanation:

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The Great Pyramid is a square pyramid with a base area of 571,536 ft2 and a height of 48 stories. Each story is approximately 10
RUDIKE [14]
To estimate the volume, you will use the formula for finding volume of a pyramid.

You will need to convert the height, given in feet, to yards.

(48 x 10)/3= 160 yards

You also need to convert the area of the base to square yards.

571536 ft.²/ 9 ft.² (1 square yd)= 63,504 yd.².

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4 0
3 years ago
((7th Grade Math))
Maurinko [17]

Answer:

2x+12=64; x=26

Step-by-step explanation:

2x+12=64

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x=26

8 0
3 years ago
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A lake contains 4 distinct types of fish. Suppose that each fish caught is equally likely to be any one of these types. Let Y de
gregori [183]

a= μ-3.16*σ , b= μ+3.16*σ if each fish caught is equally likely to be any one of these 4 distinct types.

<h3>What is meant by Chebyshev inequality?</h3>

Chebyshev's inequality is a probability theory that ensures that, over a vast range of probability distributions, no more than a particular proportion of values would be present within a selected limits or range as from mean. In other words, only a certain fish caught will be discovered within a given range of the distribution's mean.

The formula for which no more than a particular number of values can exceed is 1/K2; in other words, 1/K2 of a distribution's values can be more than or equal to K standard deviations away from the distribution's mean. Furthermore, it asserts that 1-(1/K2) of a distribution's values must be within, but not include, K standard deviations of the distribution's mean.

How to solve?

from Chebyshev's inequality for Y

P(| Y - μ|≤ k*σ ) ≥ 1-1/k²

where

Y =  the number of fish that need be caught to obtain at least one of each type

μ = expected value of Y

σ = standard deviation of Y

P(| Y - μ|≤ k*σ ) = probability that Y is within k standard deviations from the mean

k= parameter

thus for

P(| Y - μ|≤ k*σ ) ≥ 1-1/k²

P{a≤Y≤b} ≥ 0.90 →  1-1/k² = 0.90 → k = 3.16

then

P(μ-k*σ≤ Y ≤ μ+k*σ ) ≥ 0.90

using one-sided Chebyshev inequality (Cantelli's inequality)

P(Y- μ≥ λ) ≥ 1- σ²/(σ²+λ²)

P{Y≥b} ≥ 0.90  →  1- σ²/(σ²+λ²)=  1- 1/(1+(λ/σ)²)=0.90 → 3= λ/σ → λ= 3*σ

then for

P(Y≥ μ+3*σ ) ≥ 0.90

In order to learn more about Chebyshev inequality, visit:

brainly.com/question/24971067

#SPJ4

4 0
1 year ago
3.5/14 as a decimal <br> pls help
Kisachek [45]

Answer:

0.25

Step-by-step explanation:

3.5 divided by 14

3.5 ÷ 14 = 0.25

6 0
2 years ago
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