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igomit [66]
3 years ago
11

I need help on my Iready plz:((((

Mathematics
1 answer:
Setler [38]3 years ago
3 0

Answer:

it is the 3rd one

Step-by-step explanation:

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Green Sprinkles


Pink Sprinkles is $3.20 per pound

Blue Sprinkles is $4.00 per pound

Green Sprinkles is $2.80 per pound

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3 years ago
"Which shapes are topologically equivalent to Choice 2?
DanielleElmas [232]
<span>Which shapes are topologically equivalent to Choice 2?  D. NONE

Choice 1, 3, and 4 are topologically equivalent. These figures each have two holes. 

Choice 2 has three holes and is different from the other. 

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2 years ago
6 1/4 ft = how many yards
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2.083333 yards are in 6 1/4 feet


6 0
3 years ago
Read 2 more answers
Which expression is equivalent to 6^-3?
sveticcg [70]

Answer:

\boxed{ {6}^{( - 3)}  =  \frac{1}{ {6}^{3} }  =  \frac{1}{216}  }\\

<u>(1/216)</u> is the right answer.

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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