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Studentka2010 [4]
3 years ago
10

Plz need helpkkkkkssosp

Mathematics
1 answer:
Sholpan [36]3 years ago
4 0
All of these answers are right
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A surveyor has poles A, B, and C set to form a right triangle with the right angle at B. If the distance from A to B is 35 meter
tia_tia [17]
A^2+b^2=c^2 
35^2+25^2=25^2
So the answer is 25
6 0
3 years ago
I solved it myself and my result is (n+1)/n. Why is that 1/2 there? An explanation would be great if possible. Thanks!
katovenus [111]

Answer:

The product of (k + 1) series starts with 3 (because k = 2) and you need 2 to be multiplied to this in order to get (n + 1)!

Therefore you need to multiply 2 and 1/2 to make it right. 2 completes the factorial and 1/2 remains.

Hope it was clear explanation.

6 0
3 years ago
Julie spent 1/6 of her money on books , 1/3 of the remainder on a dress and saved the rest.
Lana71 [14]

The answers are 5/9 and $234.

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3 years ago
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What number has a prime factorization of 2x 5^2
andrew11 [14]
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8 0
3 years ago
Read 2 more answers
For a binomial process, the probability of success is 40 percent and the number of trials is 5. Find the standard deviation.
Yakvenalex [24]

Answer:

Sd(X) =\sqrt{1.2}=1.095

Step-by-step explanation:

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".

Solution to the problem

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

X \sim Binom(n=5, 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!}

The mean for the binomial distribution is given by:

E(X) =np=5*0.4=2

And the variance is given by:

Var(X) = np(1-p) =5*0.4*(1-0.4)=1.2

And the deviation is just the square root of the variance so we got:

Sd(X) =\sqrt{1.2}=1.095

7 0
3 years ago
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