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nadya68 [22]
3 years ago
13

Find the radius of a circle with an area of 615.75 square kilometers

Mathematics
1 answer:
SVETLANKA909090 [29]3 years ago
8 0

Answer:

13.999975443466645809607317476264924904625964880398

Step-by-step explanation:

That's only 50 digits

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Find the indicated probabilities using the geometric distribution, Poisson distribution, or the binomial distribution. The mean
ExtremeBDS [4]

Answer:

0.1606 = 16.06% probability that the number of births in any given minute is exactly five.

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}

In which

x is the number of sucesses

e = 2.71828 is the Euler number

\mu is the mean in the given interval.

In this question:

We only have the mean during an interval, and this is why we use the Poisson distribution.

The mean number of births per minute in a given country in a recent year was about 6.

This means that \mu = 6

Find the probability that the number of births in any given minute is exactly five.

This is P(X = 5). So

P(X = 5) = \frac{e^{-6}*6^{5}}{(5)!} = 0.1606

0.1606 = 16.06% probability that the number of births in any given minute is exactly five.

8 0
2 years ago
Select the following statement that is true about shape a and shape b. Question 12 options: Similar—shape b has been stretched,
vagabundo [1.1K]

Answer:

Not similar -- shape B has been streched, these shapes are neither similar or congruent.

Step-by-step explanation:

4 0
3 years ago
What are the roots of the quadratic function in the graph?
k0ka [10]
The answer would be B) -5, 3. The roots can be found where the graph crosses the x-axis, which on this graph is -5 and 3.
7 0
3 years ago
A student repeatedly measures the mass of an object using a mechanical balance and gets the following values: 560 g, 562 g, 556
MrRissso [65]

Answer: 2.76 g

Step-by-step explanation:

The formula to find the standard deviation:-

\sigma=\sqrt{\dfrac{\sum(x_i-\overline{x})^2}{n}}

The given data values : 560 g, 562 g, 556 g, 558 g, 560 g, 556 g, 559 g, 561 g, 565 g, 563 g.

Then,  \overline{x}=\dfrac{\sum_{i=1}^{10} x_i}{n}\\\\\Rightarrow\ \overline{x}=\dfrac{560+562+556+558+560+556+559+561+565+563}{10}\\\\\Rightarrow\ \overline{x}=\dfrac{5600}{10}=560

Now, \sum_{i=1}^{10}(x_i-\overline{x})^2=0^2+2^2+(-4)^2+(-2)^2+0^2+(-4)^2+(-1)^2+1^2+5^2+3^2\\\\\Rightarrow\ \sum_{i=1}^{10}(x_i-\overline{x})^2=76

Then, \sigma=\sqrt{\dfrac{76}{10}}=\sqrt{7.6}=2.76

Hence, the  standard deviation of his measurements = 2.76 g

6 0
3 years ago
Math question: <br> I'm not good at math so pls help me
oksano4ka [1.4K]

Answer:

c

Step-by-step explanation:

3 0
2 years ago
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