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larisa [96]
3 years ago
9

The Size of Jupiter is 2 x 10 to the power of 27 and the size of Saturn is 6 x 10 to the power of 26. How many times bigger is J

upiter than Saturn?
Mathematics
2 answers:
Scrat [10]3 years ago
6 0

Answer:

40

Step-by-step explanation:

pretty simple not trying to be mean

Ilia_Sergeevich [38]3 years ago
4 0

Answer:

jupiter \: is \: approximately \to \:\boxed{ 3.333 \: times \: bigger \: than \: saturn. }

Step-by-step explanation:

if \: The \:  Size \:  of  \: Jupiter \:  is  \to2  \times  10 {}^{27} \\ ........... and...... \\  the \:  size \:  of  \: Saturn \:  is \to 6  \times  10 {}^{26} . \\  then : Jupiter  \: is \to \:  (\frac{2  \times  10 {}^{27} }{6  \times  10 {}^{26}}  ) \\ \: bigger \:  than \:  Saturn. \\ \frac{2  \times  10 {}^{27} }{6  \times  10 {}^{26}}  =  \frac{1}{3}  \times  {10}^{1}  =  \frac{10}{3}  = \boxed{ 3.3333333333 }\\

♨Rage♨

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The web logs of a certain website show that the average number of hits in an hour is 75 with a standard deviation equal to 8.6.
Wittaler [7]

Answer:

a) There is a 10.75% probability of observing less than 60 hits in an hour.

b) The 99th percentile of the distribution of the number of hits is 95.21 hits.

c) There is a 24% probability of observing between 80 and 90 hits an hour

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. The sum of the probabilities is decimal 1. So 1-pvalue is the probability that the value of the measure is larger than X.

In this problem, we have that

The web logs of a certain website show that the average number of hits in an hour is 75 with a standard deviation equal to 8.6, so \mu = 75, \sigma = 8.6.

a) What’s the probability of observing less than 60 hits in an hour? Use the normal approximation

This is the pvalue of Z when X = 60. So

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

Z = \frac{60 - 75}{8.6}

Z = -1.74

Z = -1.74 has a pvalue of 0.1075. This means that there is a 10.75% probability of observing less than 60 hits in an hour.

b) What’s the 99th percentile of the distribution of the number of hits?

What is the value of X when Z has a pvalue of 0.99.

Z = 2.35 has a pvalue of 0.99

So

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

2.35 = \frac{X - 75}{8.6}

X - 75 = 20.21

X = 95.21

The 99th percentile of the distribution of the number of hits is 95.21 hits.

c) What’s the probability of observing between 80 and 90 hits an hour?

This is the pvalue of the zscore of X = 90 subtracted by the pvalue of the zscore of X = 80.

For X = 90

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

Z = \frac{90 - 75}{8.6}

Z = 1.74

Z = 1.74 has a pvalue of 0.95907

For X = 80

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

Z = \frac{80 - 75}{8.6}

Z = 0.58

Z = 0.58 has a pvalue of 0.71904

So

There is a 0.95907 - 0.71904 = 0.24003 = 24% probability of observing between 80 and 90 hits an hour

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The graphed trigonometric function is the one in option a.

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Now we can evaluate options a and b in x = 0 and see which one is equal to zero.

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Then we can see that option a is the correct option.

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HACTEHA [7]

Answer:

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Step-by-step explanation:

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In this form, "m" represents the slope, "x₁" and "y₁" represent the values from one point, and "x₂" and "y₂" represent the values from the other point. You can plug the values from the points into the equation and simplify to find the slope.

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x₁ = -4                              x₂ = -6

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y₁ - y₂ = m(x₁ - x₂)                               <----- Point-slope form

7 - (-4) = m(-4 - (-6))                            <----- Insert values

11 = m(2)                                             <----- Simplify

11/2 = m                                             <----- Divide both sides by 2

5 0
2 years ago
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