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Gennadij [26K]
3 years ago
14

Find the missing side, round the nearest tenth

Mathematics
1 answer:
Vera_Pavlovna [14]3 years ago
6 0

Answer:

125 rounded is 130

 

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weeeeeb [17]
What line? did you mean to add a picture?
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3 years ago
Please help me!! This is math 7th grade
Musya8 [376]

Answer:

14) false

15) false

Step-by-step explanation:

14) 120% of a positive whole number is always greater than the number. If the number is 1, 120% of it would give us 1.2 which is greater than 1. However if the number is a negative whole number, 120% of it would give us a smaller number. Let's try -1. 120% of -1 would give us -1.2, which is smaller than -1. Hence the statement is false.

15) 0.5% of a number is 0.5/100 of the number so we should multiply the number by 5/1000. 5/100 is only 5% of the number. Hence the statement is also false.

6 0
4 years ago
A Bag of Halloween Candy weighs 4.7 pounds, how much would 3.4 bags weigh
lyudmila [28]
You could multiply the two numbers to get a product of 15.98 pounds.
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What is the x and y intercept for 4x-5y=-20
yuradex [85]
X intercept is when y = 0 so 4x = -20, x=-5 
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7 0
3 years ago
Read 2 more answers
For each given p, let ???? have a binomial distribution with parameters p and ????. Suppose that ???? is itself binomially distr
pshichka [43]

Answer:

See the proof below.

Step-by-step explanation:

Assuming this complete question: "For each given p, let Z have a binomial distribution with parameters p and N. Suppose that N is itself binomially distributed with parameters q and M. Formulate Z as a random sum and show that Z has a binomial distribution with parameters pq and M."

Solution to the problem

For this case we can assume that we have N independent variables X_i with the following distribution:

X_i Bin (1,p) = Be(p) bernoulli on this case with probability of success p, and all the N variables are independent distributed. We can define the random variable Z like this:

Z = \sum_{i=1}^N X_i

From the info given we know that N \sim Bin (M,q)

We need to proof that Z \sim Bin (M, pq) by the definition of binomial random variable then we need to show that:

E(Z) = Mpq

Var (Z) = Mpq(1-pq)

The deduction is based on the definition of independent random variables, we can do this:

E(Z) = E(N) E(X) = Mq (p)= Mpq

And for the variance of Z we can do this:

Var(Z)_ = E(N) Var(X) + Var (N) [E(X)]^2

Var(Z) =Mpq [p(1-p)] + Mq(1-q) p^2

And if we take common factor Mpq we got:

Var(Z) =Mpq [(1-p) + (1-q)p]= Mpq[1-p +p-pq]= Mpq[1-pq]

And as we can see then we can conclude that   Z \sim Bin (M, pq)

8 0
3 years ago
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