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Rashid [163]
3 years ago
11

Been trying to solve this, need help

Mathematics
1 answer:
Alenkasestr [34]3 years ago
7 0

<u>Given</u><u> </u><u>:</u><u>-</u>

  • The given triangle is isosceles triangle.
  • Length of one side is 4 .

<u>To </u><u>Find</u><u> </u><u>:</u><u>-</u>

  • The value of x in simplest radical form.

<u>Solution</u><u> </u><u>:</u><u>-</u>

The given triangle is a right isosceles triangle . So here we can use the Pythagoras theorem as ,

\longrightarrow hypotenuse² = perpendicular ² + base²

\longrightarrow x² = 4² + 4²

\longrightarrow x² = 16 + 16

\longrightarrow x² = 32

\longrightarrow x = √32

\longrightarrow x = √2⁵

\longrightarrow x = 4 × 1.732

\longrightarrow x = 6.928 ≈ 7

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P(X&lt; ) 1-P(X&gt; ) A softball pitcher has a 0.626 probability of throwing a strike for each curve ball pitch. If the softball
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Answer:

19.49% probability that no more than 16 of them are strikes

Step-by-step explanation:

Binomial probability distribution

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The expected value of the binomial distribution is:

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The standard deviation of the binomial distribution is:

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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.

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In this problem, we have that:

n = 30, p = 0.626

So

\mu = E(X) = np = 30*0.626 = 18.78

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{30*0.626*0.374} = 2.65

What is the probability that no more than 16 of them are strikes?

Using continuity correction, this is P(X \leq 16 + 0.5) = P(X \leq 16.5), which is the pvalue of Z when X = 16.5. So

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

Z = \frac{16.5 - 18.78}{2.65}

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