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Iteru [2.4K]
3 years ago
8

If x = -3, then x2-7x + 10 equals

Mathematics
2 answers:
belka [17]3 years ago
6 0

Answer:

4-7x is your answer unless you have not included parentheses

Step-by-step explanation:


Nastasia [14]3 years ago
5 0
The problem would equal 25
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The characteristics that distinguishes IEEE 1394 from USB 2.0 is that USB supports more devices on a single bus
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2 years ago
Explain why some geometric shapes don't roll​
shutvik [7]

Answer: some don’t have constant width that allows the top and bottom to be the same distance away from each other (which is what helps shapes to roll)

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
2=5 ; 3=9 ; 4=48 ; 5=220 ; 6=1,350<br> THEN 8 = ?
loris [4]

IF

2=5 ;

3=9 ; 3*5 - 3*2

4=48 ; 4*9 + 4*3

5=220 ; 5*48 - 5*4

6=1,350 6*220 + 6*5

7= 9408 7*1350 - 7*6

THEN 8 = 8*9408 + 8*7 = 75320

7 0
2 years ago
Trigonometry word problems
astraxan [27]

From a point on the ground 47 feet from the foot of a tree, the angle of elevation of the top of the tree is 35º. Find the height of the tree to the nearest foot.
7 0
2 years ago
This is due today, and I have no idea what I'm doing, please help if you know anything.
defon

Binomial distribution formula: P(x) = (n  k) p^k * (1 - p)^n - k

a) Probability that four parts are defective = 0.01374

P(4 defective) = (25 4) (0.04)^4 * (0.96)^21

P(4 defective) = 0.01374

b) Probability that at least one part is defective = 0.6396

Find the probability that 0 parts are defective and subtract that probability from 1.

P(0 defective) = (25 0) (0.04)^0 * (0.96)^25

P(0 defective) = 0.3604

1 - 0.3604 = 0.6396

c) Probability that 25 parts are defective = approximately 0

P(25 defective) = (25 25) (0.04)^25 * (0.96)^0

P(25 defective) = approximately 0

d) Probability that at most 1 part is defective = 0.7358

Find the probability that 0 and 1 parts are defective and add them together.

P(0 defective) = 0.3604 (from above)

P(1 defective) = (25 1) (0.04)^1 * (0.96)^24

P(1 defective) = 0.3754

P(at most 1 defective) = 0.3604 + 0.3754 = 0.7358

e) Mean = 1 | Standard Deviation = 0.9798

mean = n * p

mean = 25 * 0.04 = 1

stdev = \sqrt{np(1-p)}

stdev = \sqrt{(25)(0.04)(1-0.04)} = 0.9798

Hope this helps!! :)

7 0
3 years ago
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