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Cerrena [4.2K]
3 years ago
10

This is for 100 Which equation represents the relationship between the x-and y-values shown in the table

Mathematics
1 answer:
kicyunya [14]3 years ago
6 0

Answer:

The table isn't available to view

Step-by-step explanation:

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If u have 3 dice what is the probability that they will all land on the same number
Sveta_85 [38]

Answer:(1/6)3

or 1/216

Step-by-step explanation:

You have a 1/6      chance of getting the first number.1/6  

chance of the second and so on. Is it just        

(16)3

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3 years ago
What is 248 divided by 3?
Minchanka [31]
Answer is 82.6666 and keeps going
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3 years ago
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Consider the probability that no less than 95 out of 152 registered voters will vote in the presidential election. Assume the pr
nikdorinn [45]

Answer:

0.3821 = 38.21% probability that no less than 95 out of 152 registered voters will vote in the presidential election.

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions 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}

The Z-score measures how many standard deviations the measure is from the mean. 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, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

Assume the probability that a given registered voter will vote in the presidential election is 61%.

This means that p = 0.61

152 registed voters:

This means that n = 152

Mean and Standard deviation:

\mu = E(X) = 152*0.61 = 92.72

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{152*0.61*0.39} = 6.01

Probability that no less than 95 out of 152 registered voters will vote in the presidential election.

This is, using continuity correction, P(X \geq 95 - 0.5) = P(X \geq 94.5), which is 1 subtracted by the pvalue of Z when X = 94.5. So

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

Z = \frac{94.5 - 92.72}{6.01}

Z = 0.3

Z = 0.3 has a pvalue of 0.6179

1 - 0.6179 = 0.3821

0.3821 = 38.21% probability that no less than 95 out of 152 registered voters will vote in the presidential election.

6 0
3 years ago
Worth brainliest!!
Ber [7]

Answer:

In the first law, an object will not change its motion unless a force acts on it.

In the second law, the force on an object is equal to its mass times its acceleration.

In the third law, when two objects interact, they apply forces to each other of equal magnitude and opposite direction.

Step-by-step explanation:

Hope this helped!

also if you want can you answer my two most recent questions :))

7 0
3 years ago
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Please solve X for me ? :')
Montano1993 [528]
110.10 +4x = 150.10
4x=40
x=10 :D
6 0
3 years ago
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