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Afina-wow [57]
2 years ago
13

1.True or false? 2.graph.. 3.what is the value?

Mathematics
1 answer:
pantera1 [17]2 years ago
3 0
The answer is false the line in dose not go the the X mark or 2
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Confused, and there's a test tomorrow.
-BARSIC- [3]

Answer:

  12y +16yi

Step-by-step explanation:

The thing about complex numbers is that you can treat them as binomials and use all of the things you know about multiplying and factoring polynomials.

Here, we assume you have ...

  (5 +2yi)(4 -3i) -(5 -2yi)(4 -3i)

The factor (4 -3i) can be factored out, so you have ...

  = ((5 +2yi) -(5 -2yi))(4 -3i)

  = (4yi)(4 -3i)

  = 16yi -12yi²

At this point, the definition of i comes into play, and you replace i² with -1.

  = 12y +16yi

5 0
2 years ago
Help pleaseeeeeeeeeeeeee
Firlakuza [10]

First box: division sign

Second box: 3, 15 or, 4

Third box: 1/4,3/4, or 16/76

Step-by-step explanation:

4 0
2 years ago
Allison owns a music store and sells DVDs at $17.75 per DVD. If Craig orders 5 DVDs, how much does it cost?
daser333 [38]
If 1 DVD is $17.75
Then 5 DVDs would be ($17.75*5) which equals $88.75
:) 
3 0
3 years ago
The time between telephone calls to a cable television service call center follows an exponential distribution with a mean of 1.
Ulleksa [173]

Answer:

0.52763 is the probability that the time between the next two calls will be 54 seconds or​ less.

0.19285 is the probability that the time between the next two calls will be greater than 118.5 ​seconds.

Step-by-step explanation:

We are given the following information in the question:

The time between telephone calls to a cable television service call center follows an exponential distribution with a mean of 1.2 minutes.

The distribution function can be written as:

f(x) = \lambda e^{-\lambda x}\\\text{where lambda is the parameter}\\\\\text{Mean} = \mu = \displaystyle\frac{1}{\lambda}\\\\\Rightarrow 1.2 = \frac{1}{\lambda}\\\\\lambda = 0.84 \\f(x) = 0.84 e^{0.84 x}

The probability for exponential distribution is given as:

P( x \leq a) = 1 - e^{\frac{-a}{\mu}}\\\\P(a \leq x \leq b) = e^{\frac{-a}{\mu} -\frac{-b}{\mu}}

a) P( time between the next two calls will be 54 seconds or​ less)

P( x \leq 0.9)\\= 1 - e^{\frac{\frac{-54}{60}}{1.2}} = 0.52763

0.52763 is the probability that the time between the next two calls will be 54 seconds or​ less.

b) P(time between the next two calls will be greater than 118.5 ​seconds)

p( x > \frac{118.5}{60}) = P(x > 1.975)\\\\ = 1 - P(x \leq 1.975) \\\\= 1 -1+ e^{\frac{-1.975}{1.2}}\\\\= 0.19285

0.19285 is the probability that the time between the next two calls will be greater than 118.5 ​seconds.

6 0
3 years ago
PLS DO THIS :(( I WILL GIVE U BRAINLEST<br><br><br><br> its a pdf!!
Sliva [168]
I cant see the picture :(
7 0
2 years ago
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