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algol13
3 years ago
7

How to graph binomials

Mathematics
1 answer:
PolarNik [594]3 years ago
5 0
One way to illustrate the binomial<span> distribution is with a histogram. A histogram shows the possible values of a probability distribution as a series of vertical bars.</span>
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Use the Intermediate Value Theorem to show that the polynomial f(x)=x^3+x^2-2x+5 has a real zero between -3 and -1.
Triss [41]

You need to note first two things.

1. The function f(x) need to be a continuous function on [-3,-1] (indeed f(x) is a polynomial function, is continuous on every real number x)

2. Take the closed interval [-3,-1]

Now, evaluate f(-3) and f(-1).

f(-3) = (-3)^3 + (-3)^2 -2(-3) + 5 = -27 + 9 +6 + 5 = -7 < 0\\f(-1) = (-1)^3 + (-1)^2 -2 (-1) + 5 = -1 + 1 +2 + 5 = 7 >0

So, we have f(-3) < 0  and f(-1). So,  f(-3) < 0 < f(-1), then by the Intermediate Value Theorem, there exist c \in (-3,-1) such that f(c) = 0.

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3 years ago
What function that represents the data?
ElenaW [278]

Answer:

C

Step-by-step explanation:

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3 years ago
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The L and the A in theorem stand for leg and​
8_murik_8 [283]

Answer:I think area but if I'm wrong I apologize

8 0
3 years ago
A particular concentration of a chemical found in polluted water has been found to be lethal to 40% of the crayfish that are exp
Jet001 [13]

Answer:

a) P(X=13)=(24C13)(0.4)^{13} (1-0.4)^{24-13}=0.0608

P(X=17)=(24C17)(0.4)^{17} (1-0.4)^{24-17}=0.0017

P(X=13 U X=17) = 0.0608+0.0017=0.0624

b) P(X \geq 17)=0.000427

c) P(X \geq 16)= 1-0.000427=0.9996

d) E(X)= np = 22*0.4=8.8

e) Var(X) = np(1-p)= 22*0.4*(1-0,4)=5.28

Step-by-step explanation:

1) Previous concepts

The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".

2) Solution to the problem

Let X the random variable of interest, on this case we now that:

X \sim Binom(n=24, p=0.4)

The probability mass function for the Binomial distribution is given as:

P(X)=(nCx)(p)^x (1-p)^{n-x}

Where (nCx) means combinatory and it's given by this formula:

nCx=\frac{n!}{(n-x)! x!}

3) Part a

P(X=13)=(22C13)(0.4)^{13} (1-0.4)^{22-13}=0.0336

P(X=17)=(22C17)(0.4)^{17} (1-0.4)^{22-17}=0.00035

P(X=13 U X=17) = 0.0336+0.00035=0.0340

4) Part b

P(X \geq 17)=P(X=17)+P(X=18)+P(X=19)+P(X=20)+P(X=21)+P(X=22)

P(X=17)=(22C17)(0.4)^{17} (1-0.4)^{22-17}=0.00035

P(X=18)=(22C18)(0.4)^{18} (1-0.4)^{22-18}=0.0000651

P(X=19)=(22C19)(0.4)^{19} (1-0.4)^{22-19}=0.00000914

P(X=20)=(22C20)(0.4)^{20} (1-0.4)^{22-20}=0.000000914

P(X=21)=(22C21)(0.4)^{21} (1-0.4)^{22-21}=5.81x10^{-8}

P(X=22)=(22C22)(0.4)^{22} (1-0.4)^{22-22}=1.76x10^{-9}

P(X \geq 17)=0.000427

5) Part c

P(X \leq 16)=1-P(X>16)=1-P(X\geq 17) = 1-[P(X=17)+P(X=18)+P(X=19)+P(X=20)+P(X=21)+P(X=22)]

P(X \geq 16)= 1-0.000427=0.9996

6) Part d

The expected value is:

E(X)= np = 22*0.4=8.8

7) Part e

The variance is given by:

Var(X) = np(1-p)= 22*0.4*(1-0,4)=5.28

3 0
3 years ago
Which equation could Sameer use to solve for the value of n if n + 13 = 17?
steposvetlana [31]

Answer:

n = 17-13

Step-by-step explanation:

n+13=17

Subtract 13 from each side

n+13-13 = 17-13

n = 17-13

7 0
4 years ago
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