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Ilya [14]
3 years ago
10

A spherical ball just fits inside a cylindrical can,16 centimeters y'all, with a diameter of 16 centimeters. What is the express

ion that give you the volume
Mathematics
1 answer:
Veseljchak [2.6K]3 years ago
7 0

Answer:

The correct answer is the expression of the volume of the sphere is \frac{4}{3} ×π× 8^{3} and the expression of the volume of the leftover space is π×8^{3}×16 - \frac{4}{3} ×π× 8^{3}.

Step-by-step explanation:

Height of the given cylindrical can = 16 cms.

Diameter of the given cylindrical can = 16 cms.

Now a spherical ball just fits in this given cylindrical can. Thus the diameter of the ball is equal to the diameter of the can, equal to 16 cms.

Thus the expression of the volume of ball = \frac{4}{3} ×π×r^{3} = \frac{4}{3} ×π× 8^{3}

Expression of the volume of the cylindrical can is π×r^{3}× h = π×8^{3}×16

Expression of the leftover volume would be volume of can minus volume of the ball = π×8^{3}×16 - \frac{4}{3} ×π× 8^{3}.

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1. The table shows the probabilities of a response chocolate or vanilla when asking a child or adult. Use the formula for condit
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\begin{matrix}&\text{chocolate}&\text{vanilla}&\text{total}\\\text{children}&0.14&0.26&0.40\\\text{adults}&0.21&0.39&0.60\\\text{total}&0.35&0.65&1.00\end{matrix}

a. "Chocolate" and "Adults" (whatever those mean) will be independent as long as

P(\text{chocolate}\cap\text{adults})=P(\text{chocolate})\cdot P(\text{adults})

"Chocolate" has the marginal distribution given by the second column, with a total probability of P(\text{chocolate})=0.35. Similarly, "Adults" has the marginal distribution described by the third row, so that P(\text{adults})=0.60. Then

P(\text{chocolate})\cdot P(\text{adults})=0.35\cdot0.60=0.21

Meanwhile, the joint probability of "Chocolate" and "Adults" is given by the cell in the corresponding row/column, with P(\text{chocolate}\cap\text{adults})=0.21.

The probabilities match, so these events are indeed independent.

Parts (b) and (c) are checked similarly.

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P(\text{children})\cdot P(\text{chocolate})=0.40\cdot0.35=0.14
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c. Yes;

P(\text{vanilla})\cdot P(\text{children})=0.65\cdot0.40=0.26
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3 years ago
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Step-by-step explanation:

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