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cestrela7 [59]
3 years ago
15

What is the box-and-whiskers plot used to show?

Mathematics
1 answer:
12345 [234]3 years ago
5 0
The whole idea of that kind of graph is that they allow you to view the complete distribution of data while also being able to see first and third quartiles, the median, and the minimums and maximums. 
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Write 1.0625 as a mixed number in simplest form
11111nata11111 [884]
That would be 1 1/16.

I hope this helps!! (:
5 0
3 years ago
Name the intersection of planes ABFE and BFCD.
Mkey [24]

Two planes intersect in a line that contain all common points of these two planes.

1. Plane named ABFE contains points A, B, F and E.

2. Plane named BFCD contains points B, F, C and D.

As you can see points B and F are common points for these two planes, then the line of intersection is BF and its notation is \overleftrightarrow{BF}.

Note that notation \overline{BF} stays for segments and notation \overrightarrow{BF} stays for rays.

Answer: correct choice is A.

6 0
3 years ago
Pls help im desperate.
9966 [12]

Answer:

83

Step-by-step explanation:

8 0
3 years ago
Nancy has 2 more than twice the number of homework problems April has. Nancy has 20 homework problems. In the equation below, p
Nat2105 [25]

Answer: 9

Step-by-step explanation:

Since p is the number of homework problems April has. Since Nancy has 2 more than twice the number of homework problems April has and has 20 homework problems, this can be expressed into an equation as:

(2 × p) + 2 = 20

2p + 2 = 20

2p = 20 - 2

2p = 18

p = 18/2

p = 9

April has 9 homeworks, therefore p is 9.

3 0
3 years ago
The time between breakdowns of an alarm system is exponentially distributed with mean 10 days. What is the probability that ther
Nimfa-mama [501]

Answer:

P(T>1) = e^{-\frac{1}{10}}= e^{-0.1}= 0.9048

Step-by-step explanation:

Previous concepts

The exponential distribution is "the probability distribution of the time between events in a Poisson process (a process in which events occur continuously and independently at a constant average rate). It is a particular case of the gamma distribution". The probability density function is given by:

P(X=x)=\lambda e^{-\lambda x}

Solution to the problem

For this case the time between breakdowns representing our random variable T is exponentially distirbuted T \sim Exp (\mu = 10)

So on this case we can find the value of \lambda like this:

\lambda = \frac{1}{\mu} = \frac{1}{10}

So then our density function would be given by:

P(T)=\lambda e^{-\frac{t}{10}}

The exponential distribution is useful when we want to describe the waiting time between Poisson occurrences. If we assume that the random variable T represent the waiting time between two consecutive event, we can define the probability that 0 events occurs between the start and a time t, like this:

P(T>t)= e^{-\lambda t}

And on this case we are looking for this probability:

P(T>1) = e^{-\frac{1}{10}}= e^{-0.1}= 0.9048

5 0
4 years ago
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