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dedylja [7]
3 years ago
7

WILL NAME BRAINLIEST PLEASE HELP ASAP!

Mathematics
2 answers:
PtichkaEL [24]3 years ago
7 0
Important:  to denote exponentiation use " ^ ":

<span>(x + y)1 = ___ x + ___ y    NO
</span><span>(x + y)^1 = ___ x + ___ y   YES

(x+y)^1 = 1x + 1y

(x+y)^2 = 1x + 2xy + y^2

(x+y)^3 = 1x^3 + 3x^2*y + 3x*y^2 + y^3

and so on.   Look up "Pascal's Triangle" if you want more info on this pattern.

*******************

</span><span>(x + y)4 = ___ x4 + ___ x3y + ___ x2y2 + ___ xy3 + ___ y4    NO
</span>
<span>(x + y)^4 = ___ x^4 + ___ x^3y + ___ x^2y^2 + ___ xy^3 + ___ y^4    YES

 (x+y)^4 =  1x^4 + 4x^3*y + 6x^2*y^2 + 4x*y^3 + y^4</span>
Kisachek [45]3 years ago
3 0

Answer:

a_0=1, a_1=1

a_2=1, a_3=2,a_4=1

a_5=1,a_6= 3,a_7=3,a_8=1

a_9=1,a_1_0=4,a_1_1=6,a_1_2=4,a_1_3=1.

Step-by-step explanation:

(x+y)^1=\binom{1}{0}x+ \binom{1}{1}y

\binom{n}{r}=\frac{n!}{r!(n-r)!}

 Expansion:(x+y)^n=a_0x^n+a_1x^{n-1}y+a_2x^{n-2}y^2+...............a_ny^n

then we get

(x+y)^1= x+y

Therefore, we get a_0=1,a_1=1

(x+y)^2=\binom{2}{0}x^2+\binom{2}{1}xy+\binom{2}{2}y^2

(x+y)^2=x^2+2xy+y^2

Therefore,a_2=1,a_3=2,a_4=1

(x+y)^3=\binom{3}{0}x^3+\binom{3}{1}x^2y+\binom{3}{2}xy^2+\binom{3}{3}y^3

(x+y)^3=x^3+ 3x^2y+3xy^2+y^3

Therefore, a-5=1,a_6=3,a_7=3,a_8=1

(x+y)^4=\binom{4}{0}x^4+\binom{4}{1}x^3y+\binom{4}{2}x^2y^2+\binom{4}{3}xy^3+\binom{4}{4}y^4

(x+y)^4=x^4+4x^3y+6x^2y^2+4xy^3+y^4

Therefore, a_9=1,a_1_0=4,a_1_1=6,a_1_2=4,a_1_3=1.

You might be interested in
Which expression is equivalent to the following complex fraction? <br><br>(pls help me out)​
const2013 [10]

Answer:

B. \frac{-4x + 7}{2(x - 2)}

Step-by-step explanation:

Simplify the given expression to determine its equivalent expression in the given options.

\frac{\frac{3}{x - 1} - 4}{2 - \frac{2}{x - 1}}

\frac{\frac{3}{x - 1} - \frac{4}{1}}{\frac{2}{1} - \frac{2}{x - 1}}

\frac{\frac{3 - 4(x - 1)}{x - 1}}{\frac{2(x - 1) - 2}{x - 1}}

\frac{\frac{3 - 4x + 4}{x - 1}}{\frac{2x - 2 - 2}{x - 1}}

\frac{\frac{-4x + 7}{x - 1}}{\frac{2x - 4}{x - 1}}

\frac{-4x + 7}{x - 1} * \frac{x - 1}{2x - 4}

(x - 1) cancels (x - 1)

\frac{-4x + 7}{1} * \frac{1}{2x - 4}

\frac{(-4x + 7)1}{1(2x - 4)}

\frac{-4x + 7}{2x - 4}

\frac{-4x + 7}{2(x - 2)}

3 0
3 years ago
The effect of a monetary incentive on performance on a cognitive task was investigated. The researcher predicted that greater mo
riadik2000 [5.3K]

Answer:

1) H_0:\mu_5=\mu_{25}=\mu_{50}

2) H_a:\mu_{50}>\mu_{25}>\mu_{5}

3) A Type I error happens when we reject a null hypothesis that is true. In this case, that would mean that the conclusion is that there is evidence to support the claim that the greater the incentive, the more puzzles are solved, but that in reality there is no significant difference.

4) A Type II error happens when a false null hypothesis is failed to be rejected. In this case, that would mean that there is no enough evidence to support the claim that the greater the incentive, the more puzzles are solved, but in fact this is true.

5) The probability of a Type I error is equal to the significance level, as this is the chance of having a sample result that will make the null hypothesis be rejected.

Step-by-step explanation:

As the claim is that the greater the incentive, the more puzzles were solved, the null hypothesis will state that this claim is not true. That is that there is no significant relation between the incentive and the amount of puzzles that are solved. In other words, the mean amount of puzzles solved for the different incentives is equal (or not significantly different):

H_0:\mu_5=\mu_{25}=\mu_{50}

The research (or alternative hypothesis) is that the greater the incentive, the more puzzles were solved. That means that the mean puzzles solved for an incentive of 50 cents is significantly higher than the mean mean puzzles solved for an incentive of 25 cents and this is significantly higher than the mean puzzles solved for an incentive of 5 cents.

H_a:\mu_{50}>\mu_{25}>\mu_{5}

A Type I error happens when we reject a null hypothesis that is true. In this case, that would mean that the conclusion is that there is evidence to support the claim that the greater the incentive, the more puzzles are solved, but that in reality there is no significant difference.

A Type II error happens when a false null hypothesis is failed to be rejected. In this case, that would mean that there is no enough evidence to support the claim that the greater the incentive, the more puzzles are solved, but in fact this is true.

The probability of a Type I error is equal to the significance level, as this is the chance of having a sample result that will make the null hypothesis be rejected.

4 0
3 years ago
Suppose that the quantity supplied S and quantity demanded D of​ T-shirts at a concert are given by the following functions wher
harkovskaia [24]

Answer:

Step-by-step explanation:

The demand function is expressed as

D(p )=1150-50p

The supply function is expressed as S(p)=−200 + 40p

Where

p represents the price

A) The equilibrium price is the price at which the quantity supplied and the quantity demanded would be equal. Therefore

1150 - 50p = - 200 + 40p

40p + 50p = 1150 + 200

90p = 1350

p = 1350/90

p = 15

The equilibrium price is $15

b) For quantity demanded to be greater than quantity supplied, the price would be

1150 - 50p > - 200 + 40p

40p + 50p > 1150 + 200

90p > 1350

p > 1350/90

p > 15

The price would be greater than 15

c) if the quantity demanded is greater than the quantity​ supplied, the prices of the T shirt would increase.

7 0
3 years ago
Evaluate f(x)3x + 8 for x = 1.<br><br> A. -11<br> B. 5<br> C. 11<br> D. 3
mariarad [96]

Answer:11

Step-by-step explanation:

f(x)=3x+8

f(1)=3(1)+8

f(1)=3+8

f(1)=11

5 0
3 years ago
Which transformations would affect the asymptote of a logarithmic<br> function?
Rufina [12.5K]
Transformations of logarithmic graphs behave similarly to those of other parent functions. We can shift, stretch,compress, and reflect the parent function y=log b (x) without loss of shape.
4 0
3 years ago
Read 2 more answers
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