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Anastaziya [24]
3 years ago
11

Simplify (5√2-1)^2 10 √2+51 -10 √2+51 41 √2

Mathematics
1 answer:
hodyreva [135]3 years ago
3 0
51 - 10 √2
Simplify to
41 √2
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Please solve for me. please be right
saveliy_v [14]

Answer:

It would be 60

Step-by-step explanation:

So 3(3*5 + 5) so 3*5 would be 15, 15+5=20, and 20*3=60

This is really simple if you can't figure this out, you might as well go back to 1st grade and below

pls try before asking

4 0
2 years ago
Read 2 more answers
The ratio of chocolate chip cookies, snickerdoodles and oatmeal raisin cookies was 2:5:7. During the class party 12 chocolate ch
Schach [20]

Answer: 127 cookies

Step-by-step explanation:

1. If you look back to the text you will see that 12 is 1 in 1:3:4 and you multiply that by 2. 12 * 2 = 24.

2. Divide 24 by 3 and that gives you 8 than times it by 5 for it to give you 40

3. Divide 36 by 4 and that equals to 9 than multiply it by 7 which that gives you 63

4. Add 24, 40, and 63 for it to give you 127

Thank you for following these steps if it is correct and this is my first time so if I am incorrect I will look upon my mistake and correct and help many of you people who need help

4 0
3 years ago
Find the first six terms of the sequence.<br> a = 1, an = 4.an-1 (7 points)
BlackZzzverrR [31]

Answer:yes

Step-by-step explanation:

5 0
4 years ago
Jeffrey ate out for lunch his meal cost 10.50 he would like to leave an 18% tip. how much does the lunch cost in total?
Mila [183]

Answer:

12.39

Step-by-step explanation:

18%  10.50 = 1.89

10.50+1.89 = 12.39

5 0
3 years ago
A manager at a local company asked his employees how many times they had given blood in the last year. The results of the survey
Lubov Fominskaja [6]

Answer:

Var(X) = E(X^2) -[E(X)]^2 = 4.97 -(1.61)^2 =2.3779

And the deviation would be:

Sd(X) =\sqrt{2.3779}= 1.542 \approx 1.54

Step-by-step explanation:

For this case we have the following distribution given:

X        0         1       2       3       4         5        6

P(X)  0.3   0.25   0.2   0.12   0.07   0.04   0.02

For this case we need to find first the expected value given by:

E(X) = \sum_{i=1}^n X_i P(X_I)

And replacing we got:

E(X)= 0*0.3 +1*0.25 +2*0.2 +3*0.12 +4*0.07+ 5*0.04 +6*0.02=1.61

Now we can find the second moment given by:

E(X^2) =\sum_{i=1}^n X^2_i P(X_i)

And replacing we got:

E(X^2)= 0^2*0.3 +1^2*0.25 +2^2*0.2 +3^2*0.12 +4^2*0.07+ 5^2*0.04 +6^2*0.02=4.97

And the variance would be given by:

Var(X) = E(X^2) -[E(X)]^2 = 4.97 -(1.61)^2 =2.3779

And the deviation would be:

Sd(X) =\sqrt{2.3779}= 1.542 \approx 1.54

 

8 0
4 years ago
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