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Andreas93 [3]
2 years ago
13

What is a polynomial​

Mathematics
1 answer:
luda_lava [24]2 years ago
6 0

Answer:

In mathematics, a polynomial is an expression consisting of variables and coefficients, that involves only the operations of addition, subtraction, multiplication, and non-negative integer exponentiation of variables. An example of a polynomial of a single indeterminate x is x² − 4x + 7

Step-by-step explanation:

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What is the first quartile of this data set? {6, 47, 49, 15, 43, 41, 7, 36}
stepladder [879]
<span>The first quartile is the same as the median of the data which are less than the overall median. Same as the 25th percentile.
</span>
I hope my answer has come to your help. God bless and have a nice day ahead!
5 0
3 years ago
Plz help.. I asked this question on English, but no one answered.
enyata [817]

Answer:

Step-by-step explanation:

A. abject - 2. wretched

B. congenial - 6. friendly

C. deliberately - 7. thoughtfully

D. impetuous - 3. impulsive

E. misgiving - 4. doubt

F. perturbation - 5. disturbance

G. pervade - 8. permeate

H. transgress - 1. err

Hope this helps :)

4 0
3 years ago
What must you assume when you use a rate for a prediction? (Please Help!! I'm in 6th grade and this is math.)
murzikaleks [220]

Answer:

For anything to do with force you have to assume an even amount of force is spread out evenly. But for things like growing rate you have all those variables so you can't assume a constant growing rate like acceleration.

Step-by-step explanation:

hope it helps (:

3 0
2 years ago
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
Eva and her children went into a restaurant and where they sell
Sever21 [200]

Answer:

5 hotdogs and 2 tacos

Step-by-step explanation:

7 0
3 years ago
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