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4 years ago

Please help!! i will mark brainliest!! an explanation appreciated! Hurry!

Mathematics

1 answer:

gtnhenbr [62]4 years ago

6 0

Answer:

Step-by-step explanation:

The smallest circle is Natural, then whole, then Integers, then rational, then the rectangle to the side is irrational, but they are all real numbers (the biggest compartment that holds all of them.)

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16:25 simplified (ratio maths)

Ivan

Answer:

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Step-by-step explanation:

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3 years ago

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De una botella de 4 L se utilizaron 2 4/5. ¿Cuánto aceite queda?

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3 years ago

Show that if u+v and u-v are orthognal, then the vectors u and v must have the same length.

pashok25 [27]

Answer with Step-by-step explanation:

We are given that

u+ v and u-v are orthogonal

We have to prove that u and v must have the same length.

When two vector a and b are orthogonal then

$a\cdot b=0$

By using the property

$(u+v)\cdot (u-v)=0$

We know that

$(a+b)\cdot (a-b)=\mid a\mid^2-\mid b\mid^2$

$\mid u\mid ^2-\mid v\mid^2=0$

$\mid u\mid^2=\mid v\mid^2$

Magnitude is always positive

When power of base on both sides are equal then base will be equal

Therefore,

$\mid u\mid=\mid v\mid$

Hence, the length of vectors u and v must have the same length.

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4 years ago

What is the Y intercept of X +4=-7

antiseptic1488 [7]

Answer:

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3 years ago

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A customer from Cavallaro's Fruit Stand picks a sample of 5 oranges at random from a crate containing 75 oranges, of which 6 are

boyakko [2]

Answer:

0.341 is the probability that the sample contains 1 or more rotten oranges.

Step-by-step explanation:

We are given the following information:

We treat rotten as a success.

Number of oranges = 75

Number of rotten orange = 6

P(Rotten orange) =

$=\dfrac{6}{75} = 0.08$

Then the number of rotten oranges follows a binomial distribution, where

$P(X=x) = \binom{n}{x}.p^x.(1-p)^{n-x}$

where n is the total number of observations, x is the number of success, p is the probability of success.

Now, we are given n = 5

We have to evaluate:

$P(x \geq 1) =1 - P(x = 0)\\\\=1- \binom{5}{0}(0.08)^0(1-0.08)^5\\\\= 1 - 0.659\\= 0.341$

0.341 is the probability that the sample contains 1 or more rotten oranges.

7 0

3 years ago