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Natalka [10]
3 years ago
11

What is the diameter of a circle whose radius is 6.45 meters

Mathematics
1 answer:
Vikentia [17]3 years ago
6 0
12.9
Diameter is just the radius times 2
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I don't understand what I have to do. HELP
Volgvan
Basically what you are doing is trying to find the square root of 8. What you need to do is find what would go into the number 8 equally so, you are basically finding the multiples
8 0
3 years ago
An exponentially function is expressed in the form y = axb^x . The relation represents a growth when _ and a decay when _ .
Sergio [31]

Answer:

The relation represents a growth when b>1 and a decay when 0<b<1

Step-by-step explanation:

Any function in the form f(x)= a(b^x), where a > 0, b > 0 and b not equal to 1 is called an exponential function with base b. If 0 < b < 1.  It is an example of an exponential decay. The general shape of an exponential with b > 1 is an example of exponential growth. An exponential function is expressed in the form y=a(b^x) The relation represents a growth when  b >1 and a decay when 0<b<1.

3 0
3 years ago
Find the missing side of this right
I am Lyosha [343]

Answer:

Step-by-step explanation:

square of 15 + square of x = square of 21

225 + square of x = 441

441 - 225 = 216

x = 216

6 0
3 years ago
Find the area of the circle. Round to the nearest tenth.
Viktor [21]

Answer:

28.27

Step-by-step explanation:

Area=  pi x radius squared

Radius is 1/2 the diameter which in this case is 6 ft

So, pi x 3 squared (9)

= 28.27

3 0
3 years ago
Read 2 more answers
An athletics coach states that the distribution of player run times (in seconds) for a 100-meter dash is normally distributed wi
Elza [17]

Answer:

P(X

And we can find this probability using the normal standard distribution table and we got:

P(z

And the percentage faster than 13.28 seconds would be 91.9%

Step-by-step explanation:

Let X the random variable that represent the runtimes of a population, and for this case we know the distribution for X is given by:

X \sim N(13,0.2)  

Where \mu=13 and \sigma=0.2

We want to find this probability:

P(X

And we can use the z score formula given by:

z=\frac{x-\mu}{\sigma}

Using this formula we have:

P(X

And we can find this probability using the normal standard distribution table and we got:

P(z

And the percentage faster than 13.28 seconds would be 91.9%

8 0
3 years ago
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