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anygoal [31]
2 years ago
7

How do I work this problem 11√605​

Mathematics
1 answer:
Gelneren [198K]2 years ago
7 0

Answer:

Step-by-step explanation:

Simplify the radical by breaking the radicand up into a product of known factors, assuming positive real numbers.

Exact Form:

121 √  5

Decimal Form:

270.56422527

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Please help me on this
Readme [11.4K]

For this case we have to define root properties:

\sqrt [n] {a ^ n} = a ^ {\frac {n} {n}} = a

In addition, we know that:

a ^ {- 1} = \frac {1} {a ^ 1} = \frac {1} {a}

On the other hand:

4 ^ 2 = 16

Thus, we can rewrite the given expression as:

\sqrt {4 ^ 2 * a ^ 8 * \frac {1} {b ^ 2}} =\\4 ^ {\frac {2} {2}} * a ^ {\frac {8} {2}} * \frac {1} {b ^ {\frac {2} {2}}} =\\4 * a ^ 4 * \frac {1} {b}

ANswer:

Option B

3 0
3 years ago
At the fair,Kate found a strange machine with a sign on it labeled, enter a number. When she pushed the number 15, the machine d
Ivan

apparently subtracting 6

15-6=9

23-6=17

100-6=94

77-6=71

6 0
3 years ago
PLEASE HELP!!!! URGENT. 20 POINTS AND ILL GIVE YOU BRAINLIEST!!
Leokris [45]

Answer:

magma blocks

Step-by-step explanation:

by using your die you can eat as many magma blocks as you want, keep in mind. your goal is to get to dragon level. they eat the fastest! you need to consume atleast 5 magma blocks to reach level dragon. (i hope this can help you)

3 0
2 years ago
Name
kozerog [31]

2, 8, 32, 128,

Multiply by 4 for each number

8/2= 4

32/8= 4

128/32= 4

128*4=512

512*4= 2,048

Answer: D 512, 2,048

5 0
3 years ago
The cumulative distribution function of a continuous random variable is the probability that the random variable X is greater th
ivann1987 [24]

Answer:

The correct answer is False.

Step-by-step explanation:

The cumulative distribution function of a continuous random variable is the probability that the random variable X is less than or equal to x, where x is a specific value of the continuous random variable X.

The cumulative distribution function is a function that is usually derived from a continuous random variable. We actually calculate the area underneath a probability density function between two points.

6 0
2 years ago
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