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damaskus [11]
3 years ago
13

Evaluate the expression (- n) ^ (n + n) + n ^ (n - n) , when n = 2

Mathematics
1 answer:
sladkih [1.3K]3 years ago
5 0

Answer:

17

Step-by-step explanation:

Substitute the value of the variable and simplify.

(-(2))^{(2+2)} +2^{(2-2)}

-2x^{2+2} =2^{4} = 16

2^{2-2} =2^{0}

Anything raised to the power of 0 is one.

16 + 1 = 17

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X - 4 <-4+ what’s the answer?
LekaFEV [45]

Answer:

Step-by-step explanation:

the answer is x<0

because

x-4+4<-4+4

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3 years ago
Can someone help me solve this matrix
liraira [26]

Answer:

You cant add a negative number.

Step-by-step explanation:

If you add a negative number you will not have a full answer.

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3 years ago
Lmk ASAP please you’re the
tamaranim1 [39]

9514 1404 393

Answer:

  a ≈ 4.68

Step-by-step explanation:

The law of cosines tells you ...

  a² = b² +c² -2bc·cos(A)

  a = √(b² +c² -2bc·cos(A))

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6 0
3 years ago
Read 2 more answers
Calculate the side lengths a and b to two decimal places.
Strike441 [17]

Answer:

A.)=24.78

B.)=26

C.)=7.33

D.)=25.44

Step-by-step explanation:

A.)11.40+13.38=24.78

B.)11+15=26

C.)4.18+3.15=7.33

D.)10.92+14.52=25.44

7 0
3 years ago
Read 2 more answers
The weights of soy patties sold by Veggie Burgers Delight are normally distributed. A random sample of 15 patties yields a mean
Elden [556K]

Answer:

t=\frac{3.8-4}{\frac{0.5}{\sqrt{15}}}=-1.549    

Step-by-step explanation:

Data given and notation  

\bar X=3.8 represent the sample mean

s=0.5 represent the sample standard deviation for the sample  

n=15 sample size  

\mu_o =4 represent the value that we want to test

\alpha represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

State the null and alternative hypotheses.  

We need to conduct a hypothesis in order to check if the mean weight is less than 4 ounces, the system of hypothesis would be:  

Null hypothesis:\mu \geq 68  

Alternative hypothesis:\mu < 4  

If we analyze the size for the sample is < 30 and we don't know the population deviation so is better apply a t test to compare the actual mean to the reference value, and the statistic is given by:  

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

t-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".  

Calculate the statistic

We can replace in formula (1) the info given like this:  

t=\frac{3.8-4}{\frac{0.5}{\sqrt{15}}}=-1.549    

3 0
3 years ago
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