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Llana [10]
2 years ago
11

I NEED HELP PLS PLS PLS HELP IM ON A TIMER☹️​

Mathematics
2 answers:
katrin2010 [14]2 years ago
7 0

Answer:

pretty sure its 2

lana66690 [7]2 years ago
4 0

Answer:

i think 1 or 3

Step-by-step explanation:

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I need help with 3-4 quick
Agata [3.3K]
3-4 = -1

Hope this helps!

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6 0
3 years ago
Karen, Susan, and Meg are all in a workout program. Susan lost three less than twice as many pounds as Karen. Meg lost seven mor
KiRa [710]

Answer:

Karen will get mad because, Susan lost so much weight than her, she will call the police, rant to the manager of the program, cuss at Susan then get banned from the program and go to jail.

Step-by-step explanation:

That's what would REALLY happen, or did you want me to answer the math problem?

4 0
3 years ago
Liam is going to a carnival that has games and rides. Each game costs $5 and each ride costs $3.50. How much would Liam have to
lesya692 [45]

Answer:

$43

Step-by-step explanation:

You have to find how much he is paying for his games and how much he is paying for his rides, then add them together.

5(3) = $15 (games)

8(3.5) = $28 (rides)

28+15 = 43

5 0
2 years ago
Answer the following questions and round your answers to 2 decimal places. 84% of all Americans live in cities with population g
nignag [31]

Answer:

15.23% probability that exactly 42 of them live in cities with population greater than 50,000 people.

Step-by-step explanation:

For each American, there are only two possible outcomes. Either they live in cities with population greater than 50,000 people. Or they do not. The probability of a person living in a city with population greater than 50,000 people is independent of any other person. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

84% of all Americans live in cities with population greater than 50,000 people.

This means that p = 0.84

If 50 Americans are selected at random, Find the probability that Exactly 42 of them live in cities with population greater than 50,000 people.

This is P(X = 42) when n = 50. So

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 42) = C_{50,42}.(0.84)^{42}.(0.16)^{8} = 0.1523

15.23% probability that exactly 42 of them live in cities with population greater than 50,000 people.

4 0
2 years ago
IAITU
blagie [28]
Is there a picture to go with this ?
6 0
2 years ago
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