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garik1379 [7]
3 years ago
8

Length,breadth & diagonal of a cuboid are 60 cm,20 cm & 65 cm respectively. find its volume?

Mathematics
1 answer:
Lera25 [3.4K]3 years ago
7 0
I hope this helps you



Volume=60.20.65



Volume=78000
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Change both fractions to improper fractions. Then, do KCF.<br><br> I NEED HELP
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Answer:

81/42

Step-by-step explanation:

8 1/10 ÷ 4 1/5

81/10 ÷ 21/5

81/10 * 5/21

(81*5)/(10*21)

405/210

81/42

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Is 1 1/4 + 1 1/4 = 2 3/4 correct?
laila [671]

Answer:

no

Step-by-step explanation:

11/4 plus 11/4 is 22/4

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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
Mashutka [201]

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:

E(X) = np

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.

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 = 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}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

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

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3 years ago
If I have one pouch of tuna with 26oz and (737oz) of mayonnaise how much tuna and mayo will I need for a double batch??
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