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Lostsunrise [7]
3 years ago
8

A particular state's license plates have 7 characters. Each character can be a capital letter, or a digit except for 0. How many

license plates are there in which no two adjacent characters are the same
Mathematics
1 answer:
Ede4ka [16]3 years ago
8 0

Answer:

N = 35 × 34^6

N = 54,068,154,560

Step-by-step explanation:

Given;

The license plate have 7 characters.

Each character can be a capital letter, or a digit except for 0.

There are 26 capital letters

And there are 9 digits excluding 0

The total number of possible entries in each character is;

26+9 = 35

The number of license plates in which no two adjacent characters are the same are;

For no two adjacent characters of the license plate not to be the same that is no two characters that follow each other can be the same, the number of possible entries in the adjacent characters apart from the first character would be reduced by one.

N = 35 × 34 ×34×34×34×34×34

N = 35 × 34^6

N = 54,068,154,560

Therefore, there are 54,068,154,560 possible license plates

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SOVA2 [1]

Given:

Sphere and cylinder have same radius and height.

Volume of the cylinder = 48 cm³

To find:

The volume of the sphere.

Solution:

Radius and height of cylinder are equal.

⇒ r = h

Volume of cylinder:

V=\pi r^2h

Substitute the given values.

48=\pi r^2r   (since r = h)

48=\pi r^3

48=3.14 \times r^3

Divide by 3.14 on both sides.

$\frac{48}{3.14} =\frac{3.14\times r^3}{3.14}

$15.28=r^3

Taking cube root on both sides, we get

2.48 = r

The radius of the cylinder is 2.48 cm.

Sphere and cylinder have same radius and height.

Volume of sphere:

$V=\frac{4}{3} \pi r^3

$V=\frac{4}{3} \times 3.14 \times (2.48)^3

V=63.85

The volume of the sphere is 63.85 cm³.

6 0
4 years ago
You want to estimate the mean weight loss of people one year after using a popular weight-loss program being advertised on TV. H
maria [59]

Answer:

At least 6907 people.

Step-by-step explanation:

Population std deviation = sigma= 10.6

Since population std deviation is known, we can use normal probability table to get sample size from confidence interval.

The sample mean weight loss is within 0.25 lb of the true population mean.

Hence  margin of error < 0.25

Margin of error = z critical (std dev/n) where n = sample size

Z critical for 95% = 1.96

Hence 0.25 >1.96(10.6)/sq rt n

Simplify to get

sq rt n > 1.96(10.6)/0.25 = 83.104

Square both the sides to get

n > 83.104 square = 6906.27

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3 0
3 years ago
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kodGreya [7K]

Answer:

200- 10 = 190

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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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This is demonstrated by switching the sides of option B) 36 + 9 = 3(12 + 3)

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