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BlackZzzverrR [31]
2 years ago
15

Estimate the diameter of the supergiant star Betelgeuse, using its angular diameter of about 0.05 arcsecond and distance of abou

t 600 light years.
Express your answer to three significant figures and include the appropriate units.
Mathematics
2 answers:
8090 [49]2 years ago
7 0

<span>0.05 arc-second = 1 degree/72000 = (pi radians)/(180*72000) = 2.424 x 10^(-7) radians</span>

<span>The distance is roughly: </span>

<span>R*(theta) = (600 light-years)*2.424 x 10^(-7) = 0.00014544 light-years = 1.275 light-hours = (3600 seconds)*(3 x 10^8 m/s)*(1.275) = 1.38 x 10^12 meters.</span>

forsale [732]2 years ago
5 0

Answer:

Diameter of the star, d=1.38\times 10^{12}\ m

Step-by-step explanation:

Given that,

Angular diameter of the star, angle, \theta=0.05\ arcsecond=2.42\times 10^{-7}\ radian

Distance, D=600\ ly=5.67\times 10^{18}\ m

We need to find the diameter of the supergiant star Betelgeuse. The relationship between the diameter of star and angle subtended is given by :

\theta=\dfrac{d}{D}, d = diameter

d=\theta\times D

d=2.42\times 10^{-7}\times 5.67\times 10^{18}

d=1.37214\times 10^{12}\ m

or

d=1.38\times 10^{12}\ m

Hence, this is the required solution.

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Pachacha [2.7K]

Answer:

Each adult male has a 5.05% probability of having a hip width greater than 16.2 inches.

There is a 0.01% probability that the 110 adult men will have an average hip width greater than 16.2 inches.

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by

Z = \frac{X - \mu}{\sigma}

After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X. Subtracting 1 by the pvalue, we This p-value is the probability that the value of the measure is greater than X.

In this problem

Assume that adult men have hip breadths that are normally distributed with a mean of 14.4 inches and a standard deviation of 1.1 inches. This means that \mu = 14.4, \sigma = 1.1.

What is the probability that any one of those adult male will have a hip width greater than 16.2 inches?

For each one of these adult males, the probability that they have a hip width greater than 16.2 inches is 1 subtracted by the pvalue of Z when X = 16.2. So:

Z = \frac{X - \mu}{\sigma}

Z = \frac{16.2 - 14.4}{1.1}

Z = 1.64

Z = 1.64 has a pvalue of 0.9495.

This means that each male has a 1-0.9495 = 0.0505 = 5.05% probability of having a hip width greater than 16.2 inches.

For the average of the sample

What is the probability that the 110 adult men will have an average hip width greater than 16.2 inches?

Now, we need to find the standard deviation of the sample before using the zscore formula. That is:

s = \frac{\sigma}{\sqrt{110}} = 0.1.

Now

Z = \frac{X - \mu}{\sigma}

Z = \frac{16.2 - 14.4}{0.1}

Z = 18

Z = 18 has a pvalue of 0.9999.

This means that there is a 1-0.9999 = 0.0001 = 0.01% probability that the 110 adult men will have an average hip width greater than 16.2 inches.

7 0
2 years ago
Michael threw for 1,654 yards in his first five games. At this rate, how many yards will he have thrown for in fifteen games? ✗
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Answer:

4,962 yards.

Step-by-step explanation:

We are given that,

For the first 5 games, Michael threw 1,654 yards.

Since, we see that, the relationship between the yards and the games are directly proportional.

Then for 15 games,

Michael will have thrown for \frac{1654}{5}\times 3 yards i.e. 1654 × 3 = 4,962 yards

Hence, for 15 games, Michael have thrown for 4,962 yards

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Equation at the end of step

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Pulling out like terms

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Equation at the end of step

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