Answer:
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Step-by-step explanation:
Answer: think A
Step-by-step explanation:
9514 1404 393
Answer:
x = y + 360n, for any positive integer n
Step-by-step explanation:
Since x is greater than y, something must be added to y to get x. Angles have the same co-terminal ray at multiples of 360°. Then the amount added to y must be some multiple of 360°:
x = y + 360n . . . . . for positive integer n
Answer:
![Sd(X) =\sqrt{1.2}=1.095](https://tex.z-dn.net/?f=%20Sd%28X%29%20%3D%5Csqrt%7B1.2%7D%3D1.095)
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)](https://tex.z-dn.net/?f=X%20%5Csim%20Binom%28n%3D5%2C%20p%3D0.4%29)
The probability mass function for the Binomial distribution is given as:
![P(X)=(nCx)(p)^x (1-p)^{n-x}](https://tex.z-dn.net/?f=P%28X%29%3D%28nCx%29%28p%29%5Ex%20%281-p%29%5E%7Bn-x%7D)
Where (nCx) means combinatory and it's given by this formula:
![nCx=\frac{n!}{(n-x)! x!}](https://tex.z-dn.net/?f=nCx%3D%5Cfrac%7Bn%21%7D%7B%28n-x%29%21%20x%21%7D)
The mean for the binomial distribution is given by:
![E(X) =np=5*0.4=2](https://tex.z-dn.net/?f=%20E%28X%29%20%3Dnp%3D5%2A0.4%3D2)
And the variance is given by:
![Var(X) = np(1-p) =5*0.4*(1-0.4)=1.2](https://tex.z-dn.net/?f=Var%28X%29%20%3D%20np%281-p%29%20%3D5%2A0.4%2A%281-0.4%29%3D1.2)
And the deviation is just the square root of the variance so we got:
![Sd(X) =\sqrt{1.2}=1.095](https://tex.z-dn.net/?f=%20Sd%28X%29%20%3D%5Csqrt%7B1.2%7D%3D1.095)
Can you please add a picture of the problem or type all the measurements and information?