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Anna71 [15]
3 years ago
15

Which was the biggest earthquake in the history of earth? PLS i'll mark as brainleast :)

Mathematics
2 answers:
Mazyrski [523]3 years ago
7 0

Answer:

Valdivia Earthquake

Step-by-step explanation:

The 1960 Valdivia earthquake (Spanish: Terremoto de Valdivia) or the Great Chilean earthquake (Gran terremoto de Chile) on 22 May 1960 was the most powerful earthquake ever recorded. ... The tremor caused localised tsunamis that severely battered the Chilean coast, with waves up to 25 metres (82 ft).

SashulF [63]3 years ago
4 0

Answer:

Valdivia earthquake

Explanation:

The 1960 Valdivia earthquake (Spanish: Terremoto de Valdivia) or the Great Chilean earthquake (Gran terremoto de Chile) on 22 May 1960 was the most powerful earthquake ever recorded. Various studies have placed it at 9.4–9.6 on the moment magnitude scale.

The most powerful quake was the 9.5-magnitude Valdivia Earthquake that struck in Chile in 1960, according to the U.S. Geological Survey (USGS). That quake created a tsunami, which together killed an estimated 5,700 people.

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Read 2 more answers
Consider the probability that greater than 96 out of 153 DVDs will work correctly. Assume the probability that a given DVD will
ICE Princess25 [194]

Answer:

0.3594 = 35.94% probability that greater than 96 out of 153 DVDs will work correctly.

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 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}

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)}.

In this problem, we have that:

n = 153, p = 0.62

So

\mu = E(X) = np = 153*0.62 = 94.86

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{153*0.62*0.38} = 6

Probability that greater than 96 out of 153 DVDs will work correctly.

97 or more DVDs, which is 1 subtracted by the pvalue of Z when X = 97. So

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

Z = \frac{97 - 94.86}{6}

Z = 0.36

Z = 0.36 has a pvalue of 0.6406

1 - 0.6406 = 0.3594

0.3594 = 35.94% probability that greater than 96 out of 153 DVDs will work correctly.

3 0
3 years ago
The width of a rectangle is 1 3/4 feet. The rectangle is 2 1/2 feet longer than it is wide. What is the length of the rectangle?
sp2606 [1]

Answer:

length=4 1/4

Step-by-step explanation:

  1. 1 3/4 + 2 1/2
  2. convert 2 1/2 into 2/4 since 2 is half of 4
  3. add the converted number and 1 3/4 fractions
  4. 2/4 and 3/4 added will make 1 1/4
  5. add 1 1/4, 2 and 1 and it will equal 4 1/4
7 0
3 years ago
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