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statuscvo [17]
3 years ago
6

Solve for x in -14x⁴ - 8x³ = 32​

Mathematics
1 answer:
gayaneshka [121]3 years ago
7 0

Answer:

No solutions

Step-by-step explanation:

There can be no solutions to your question

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What is the coeffieent of (x^4)(y^4) in the expansion of (x+y)^8
kap26 [50]
ANSWER

The coefficient is 70.

EXPLANATION

The given binomial expression is

(x+y)^8

The specific term of a binomial expansion can be determined using the formula,

T_{r+1}= nC_ra^{n-r}b^r
where

n=8,r=4,a=x,b=y

We substitute these values into the formula to get,

T_{4+1}= 8C_4x^{8-4}y^4

We simplify to get,

T_{5}= 70x^{4}y^4

Hence the coefficient is 70.
4 0
3 years ago
Winnie poured 14 cups of water into a rectangular container measuring 13 inches by 7 inches by 6 centimeters.
kow [346]
Max volume = Volume of container = 13 in x 7 in x 6 in = 546 in^3 
<span>Part B: </span>
<span>1 cup = 14.4375 in^3 </span>
<span>14 cups = 14.4375 in^3 * 7 = 202.125 in^3 </span>
<span>Part C: </span>
<span>Height of water = (202.125 in^3)/(13 in x 7 in) = 2.22 in.
(i HAD THE SAME QUESTION)</span>
6 0
3 years ago
Read 2 more answers
What is 275.9 × 10−4 in standard form?
lisov135 [29]

Answer:

-2755

Step-by-step explanation:

4 0
3 years ago
Which ratio is equivalent to 9/36 <br> A. 6/9<br> B. 1/2<br> C. 1/3<br> D. 1/4
vodomira [7]
D because divide both sides by nine

5 0
3 years ago
Read 2 more answers
The director of admissions at Kinzua University in Nova Scotia estimated the distribution of student admissions for the fall sem
wariber [46]

Answer:

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

Step-by-step explanation:

Let X the random variable that represent the number of admisions at the universit, and we have this probability distribution given:

X        1060   1400    1620

P(X)     0.5      0.1        0.4

In statistics and probability analysis, the expected value "is calculated by multiplying each of the possible outcomes by the likelihood each outcome will occur and then summing all of those values".

The variance of a random variable Var(X) is the expected value of the squared deviation from the mean of X, E(X).

And the standard deviation of a random variable X is just the square root of the variance.  

In order to calculate the expected value we can use the following formula:  

E(X)=\sum_{i=1}^n X_i P(X_i)  

And if we use the values obtained we got:  

E(X)=(1060*0.5) +(1400*0.1) +(1620*0.4)=1318  

3 0
3 years ago
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