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Snezhnost [94]
2 years ago
5

An incident ray strikes a boundary at a 72. 5-degree angle, resulting in an angle of refraction of 39. 6 degrees. The index of r

efraction of the first medium is 1. 3. What is medium 1? What is medium 2?.
Mathematics
1 answer:
LiRa [457]2 years ago
8 0

Refractive index is the ratio of sin(i) to sin (r). Medium 2 is sodium chloride with a refractive index of 1.54.

<h3>What is Refractive Index?</h3>

A material's refractive index (sometimes called refraction index or index of refraction) is a dimensionless quantity that specifies how quickly light passes through it.

As we know that the Refractive index is the ratio of sin(i) to sin (r), and it can be represented as,

\rm Refractive\ Index = \dfrac{Sin(i)}{Sin(r)}

where

i is the incident angle and

r is the refraction angle.

Now, the refractive index can be written as for the given medium can be written as,

\rm Refractive\ Index = \dfrac{Sin(i)}{Sin(r)}\\\\

\rm Refractive\ Index = \dfrac{Sin(79.5)}{Sin(39.6)}=1.542

Now, if we take the ratio of the refractive index of the two mediums, then

\rm 1.542 = \dfrac{n}{1.0003}\\\\n = 1.542 \times 1.0003\\\\n= 1.5425\ \approx 1.54

Hence, Medium 2 is sodium chloride with a refractive index of 1.54.

Learn more about Refractive Index:

brainly.com/question/17156275

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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:

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The mean for the binomial distribution is given by:

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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

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Answer:

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Step-by-step explanation:

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