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Burka [1]
3 years ago
10

A dilation is given by the transformation (x, y) - (.75x, 75y). What type of dilation is this

Mathematics
1 answer:
uranmaximum [27]3 years ago
3 0
Most likely B because x>1 = enlargement vs x<1 = reduction, & the x & y are doing two completely different things
You might be interested in
Please help me convert 3.41 m​
AveGali [126]

Answer:

Hewo!

3.41 m - 341 cm

3.41 m - 0.00341 km

3.41 m - 3410 mm

hope it helps!

5 0
3 years ago
What is the surface area of a cube that’s measured 8 inches
MrRa [10]

Answer:

2

Step-by-step explanation:

Haven't done this in awhile but I think it's 2 because if you cube 2 it comes to 8. L x W x H = 8 | 2 x 2 x 2 = 8

7 0
2 years ago
What is the rule for the piecewise function shown in the graph?
andrey2020 [161]
The first choice.
The equation of this first line is -2, and since there is an open circle, it is not equal to -3.
The equation of the second line is -x-2, and there is a closed circle, so it includes -3
7 0
3 years ago
Paper cost $49 for 10 reams. How much for 1 ream?
amid [387]
For 10 ream, it's cost = $49
So, for 1 ream, it would be: $49/10 = $4.9

So, your final answer is $4.9

Hope this helps!
6 0
3 years ago
In a recent year, a sample of grade 8 Washington State public school students taking a mathematics assessment test had a mean sc
Daniel [21]

Answer:

The  number is  N  =1147 students

Step-by-step explanation:

From the question we are told that

    The population mean is  \mu  =  281

     The standard deviation is  \sigma  =  34.4

    The sample size is  n = 2000

percentage of the would you expect to have a score between 250 and 305 is mathematically represented as

      P(250 <  X <  305 ) =  P(\frac{ 250 - 281}{34.4 }  <  \frac{X - \mu }{\sigma }  < \frac{ 305 - 281}{34.4 }   )

Generally  

             \frac{X - \mu }{\sigma }  =  Z  (Standardized \ value \  of  \  X )

So  

         P(250 <  X <  305 ) =  P(-0.9012<  Z

       P(250 <  X <  305 ) = P(z_2 < 0.698 ) -  P(z_1 <  -0.9012)

From the z table  the value of  P( z_2 < 0.698) =  0.75741

                                         and  P(z_1 < -0.9012) =  0.18374

     P(250 <  X <  305 ) = 0.75741 - 0.18374

      P(250 <  X <  305 ) =  0.57

The  percentage is  P(250 <  X <  305 ) =  57\%

The  number of students that will get this score is

           N  = 2000 * 0.57

           N  =1147

6 0
3 years ago
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