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Nataly [62]
3 years ago
8

HELP ASAP WILL GIVE BRAINLIST! 20 points as well

Mathematics
2 answers:
Blababa [14]3 years ago
6 0

Answer:

64$

Step-by-step explanation:

1/2 (6+10) 2=

guapka [62]3 years ago
6 0

Answer:

64

Step-by-step explanation:

A=(10+6) times 2 = 32

32 divied by 2 is 16

16ft times the $4 for each 16 times 4 is 64

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natka813 [3]

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2 years ago
What is 2x+5=17<br> need step by step explanation
Brums [2.3K]

Answer: x=6

Step-by-step explanation:

2x+5=17  

    -5=-5

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2x=12

\frac{2x}{2}= \frac{12}{2}

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7 0
3 years ago
Read 2 more answers
Given that f(x) = x2 + x and g(x) = 3x + 1, find the value of g(f(-2)).​
Evgen [1.6K]

Answer:

<h2>7</h2>

Step-by-step explanation:

f(x) = x^2 + x\\g(x) = 3x + 1\\\\g(f(-2)) = ?\\f(-2) =?\\

To find f(-2) , Substitute -2 for x in the given equation ;

f(-2)= (-2)^2 +(-2)\\f(-2) = 4-2\\f(-2) = 2

To find g(f(-2)) ;

g(f(-2))\\f(-2) =2\\\\= g(f(-2)) = g(2)\\

To find g(2) , substitute 2 for x in the given equation

g(x) = 3x+1\\g(2) = 3(2)+1\\\\g(f(-2)) = 6+1\\\\g(f(-2))=7

5 0
2 years ago
We have n = 100 many random variables xi 's, where the xi 's are independent and identically distributed bernoulli random variab
Alex777 [14]
Recall that for a random variable X following a Bernoulli distribution \mathrm{Ber}(p), we have the moment-generating function (MGF)

M_X(t)=(1-p+pe^t)

and also recall that the MGF of a sum of i.i.d. random variables is the product of the MGFs of each distribution:

M_{X_1+\cdots+X_n}(t)=M_{X_1}(t)\times\cdots\times M_{X_n}(t)

So for a sum of Bernoulli-distributed i.i.d. random variables X_i, we have

M_{\sum\limits_{i=1}^nX_i}(t)=\displaystyle\prod_{i=1}^n(1-p+pe^t)=(1-p+pe^t)^n

which is the MGF of the binomial distribution \mathcal B(n,p). (Indeed, the Bernoulli distribution is identical to the binomial distribution when n=1.)
8 0
3 years ago
Please help me solve this I will give u brainlst :)
NARA [144]
Equation: 2(.25) + p(.75) = 2.75
Answer: 3 pencils
7 0
2 years ago
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