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SIZIF [17.4K]
2 years ago
11

Help me with this question :

0%2B%20b%29%20%7B%7D%5E%7B2%7D%20%20%3D%20" id="TexFormula1" title=" \quad \tt \:( {a}^{} + b) {}^{2} = " alt=" \quad \tt \:( {a}^{} + b) {}^{2} = " align="absmiddle" class="latex-formula">
​
Mathematics
2 answers:
liberstina [14]2 years ago
7 0

Answer:

{(a + b)}^{2}

(a + b)(a + b)

a ·a + a ·b + b ·a + b  ·b

{a}^{2}  +   2ab +  {b}^{2}

Step-by-step explanation:

\frak{seolle_{aphrodite}}

Bas_tet [7]2 years ago
3 0

Answer:

a² + 2ab + b²

Explanation:

⇒ (a + b)²

⇒ (a + b)(a + b)    

[apply distributive method: (a + b) (c + d) = ac + ad + bc + bd]

⇒ a² + ab + ab + b²

⇒ a² + 2ab + b²

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Answer:

52 R17

Step-by-step explanation:

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3 years ago
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zheka24 [161]

Answer:

1.27%

Step-by-step explanation:

To solve this problem, we may consider a binomial distribution where a customer can either accept or reject (and return) the diskette package.

Lets consider  some aspects:

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A = 0 or 1 defective diskette

2. The probability of a diskette being defective is 0.01

3. Each package contains 10 diskettes.

If X is defined as number of defective diskettes in the package, the probability of X is given by a binomial distribution with probability 0.01 and n=10

X ~ Bin(p=0.01, n=10)

Let us remember the calculation of probability for the binomial distribution:

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Where

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In our case success means finding a defective diskette, therefore

n=10

p=0.01

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Hence,

P(X=x)=10Cx*0.01^{x}*(1-0.01)^{(10-x)} with x = 0, 1

So,

P(A)=P(X=0)+P(X=1)

P(A)=10C0*0.01^{0}*(1-0.01)^{(10-0)} + 10C1*0.01^{1}*(1-0.01)^{(9)}

P(A)=0.99^{10}+10*0.01*0.99^{9}

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Now, because we have 3 packages and we might reject just 1 of them, we can find this probability like this:

3*(1-P(A))*P(A)*P(A) = (1-0.9957)*0.9957*0.9957=0.0127

Finally, we have that the probability of returning exactly one of the three packages is 1.27%

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