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GREYUIT [131]
2 years ago
9

I am thinking of an a number less than 20 greater than 10. the sum of the digits in the number is 6. what is the number? It’s fo

r a game I’m playing
Mathematics
1 answer:
Leno4ka [110]2 years ago
3 0

Answer:

might be 12

Step-by-step explanation:

i think so its prob 12 i just have a feeling

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Physics aka Physics
Triss [41]

Answer:

yeah physics is hard young one

4 0
3 years ago
Read 2 more answers
Read each relationship and decide whether its graph would be continuous or discrete
Afina-wow [57]
The ones which are discrete would have answers like 1234 and would not have any decimal answers so you can’t have half a student or half a chair there for those of the two that are discrete
5 0
3 years ago
Someone help and plz make sure it’s right plz! :)
kvv77 [185]

Answer:

-21/4

Step-by-step explanation:

slope = y2-y1/ x2-x1

-18 - 3 / 17-13 = -21/4

4 0
3 years ago
Need help on 2, b, c, and 3 please.
Svetlanka [38]
A/Wall if you have 20 and 30 that box is missing # so you will need to times and you will get something like this 20×30=60 and that's the missing #

B/Its going to be about 768 so you need to times and if you don't get 768


4 0
3 years ago
A theater group holds a fund-raiser. It sells 100 raffle tickets for $7 apiece. Suppose you purchase four tickets. The prize is
lys-0071 [83]

Answer:

Check Explanation

Step-by-step explanation:

The random variable X is the possible net amount that leaves or enters one's hands. It is the amount of winnings!

X can take on value of -($7 × 4) = -$28

(That is, none of the four raffle tickets bought is picked to win)

X can also take on value of [$150 - ($7 × 4)] = $122

(That is, one of the four raffle tickets bought is picked to win)

For the probability distribution function, we find the probabilities of the different amount of winnings.

First of, probability of losing = (96/100) = 0.96

Then, probability of winning = (4/100) = 0.04

Probability density distribution is then given as

X | probability

-$28 | 0.96

$122 | 0.04

To go a step further, expected winnings would be

E(X) = Σ xᵢpᵢ = (-28)(0.96) + (122)(0.04)

= -26.88 + 4.88 = -$22

The expected winnings show that this is not a risk worth taking.

Hope this Helps!!!

4 0
3 years ago
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