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Len [333]
3 years ago
9

The absolute value of a number can be positive or negative.

Mathematics
1 answer:
dybincka [34]3 years ago
5 0
Positive, it will never be negative
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Evaluate the expression when m=4<br> m^2-9m-5
enyata [817]

Answer:-25

Step-by-step explanation:

simplify

3 0
3 years ago
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Simplify.<br> (-3.9) + (6.01) - (-7.423)<br> -5.513.<br> 2.487.<br> 9.533.
lianna [129]
First, since we must follow PEMDAS, we need to do the operation that is first, which is addition. 

-3.9 + 6.01  ← Adding a negative means subtracting, then giving the sign of the bigger number.

So now we solved those and we got this answer: 2.11

Now, we need to subtract and re-write the expression.

2.11 - (-7.423) = 2.11 + 7.423= 9.533

Ok....so now we have our final answer, and we have the choices above.

The only answer that matches ours is the last one.

Final answer: 9.533

Hope I helped ^_^

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65 millimeters to meters
romanna [79]
65 millimeters to meters is .065 and you would know this because there's .001 millimeters in 1 meter so with 65 you would move the decimal up 3 spaces o make .065m
3 0
3 years ago
It was also reported that 30% of those with an allergy in fact are allergic to multiple foods. if a child younger than 18 is ran
babymother [125]
I think it's 8%. Hope this helps!
6 0
3 years ago
Suppose that in a casino game the payout is a random variable X . If X is positive, you gain money, if negative, you lose.
Vanyuwa [196]

Answer:

the conditional probability that X = 1 , X = 2 and X = 3 is  0.7333 (73.33%) , 0.25 (25%) and 0.0167 (1.67%) respectively

Step-by-step explanation:

a player wins money when i>0 then defining event W= gain money , then

P(W) = p(i>0) = p(1)+p(2)+p(3)

then the conditional probability can be calculated through the theorem of Bayes

P(X=1/W)= P(X=1 ∩ W)/P(W)

where

P(X=1 ∩ W)= probability that the payout is 1 and earns money

P(X=1 / W)= probability that the payout is 1 given money was earned

then

P(X=1/W)= P(X=1 ∩ W)/P(W) = P(X=1) / P(W) = p(1) /[p(1)+p(2)+p(3)] = 11/40 /(11/40+3/32+1/160 ) = 0.7333 (73.33%)

similarly

P(X=2/W)=p(2) /[p(1)+p(2)+p(3)] = 3/32 /(11/40+3/32+1/160 ) = 0.25 (25%)

P(X=3/W)=p(2) /[p(1)+p(2)+p(3)] = 1/160 /(11/40+3/32+1/160 ) = 0.0167 (1.67%)

8 0
3 years ago
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