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Lynna [10]
3 years ago
12

Kylie explained that (–4x + 9)2 will result in a difference of squares because (–4x + 9)2 = (–4x)2 + (9)2 = 16x2 + 81. Which sta

tement best describes Kylie’s explanation?
Mathematics
2 answers:
OverLord2011 [107]3 years ago
8 0
Well, in order to get that you had to do distributive property, distributive property is when you get the outside number next to the parenthesis and multiply it by the numbers or variable inside the parenthesis one by one. So if she was trying to explain how you got the answer you got then you would say you used the distributive property. Now the (-4x)2 would look like (-4x)(-4x) nad the (9)2 will look like (9)(9) that is why it results in 16x2+81. When you square something it means that you multiply the first number or variable or both times the same. That is why you got that answer. Now I am going to make clear that you r(-4x) changed from a negative to a postive because when you multiply a negative times a negative(or divide also) it results in a positve.

Hope I explained it enough
horrorfan [7]3 years ago
7 0

Answer:

no whats the answer ^

Step-by-step explanation:

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3 years ago
Need help on this<br><br> Z+4&gt;2z
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7 0
2 years ago
Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimeters,
tiny-mole [99]

Answer:

Probability that the sample mean would be greater than 141.4 millimetres is 0.3594.

Step-by-step explanation:

We are given that Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 141 millimetres, and a standard deviation of 7.

A random sample of 39 steel bolts is selected.

Let \bar X = <u><em>sample mean diameter</em></u>

The z score probability distribution for sample mean is given by;

                            Z  =  \frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} }  } }  ~ N(0,1)

where, \mu = population mean diameter = 141 millimetres

           \sigma = standard deviation = 7 millimetres

           n = sample of steel bolts = 39

Now, Percentage the sample mean would be greater than 141.4 millimetres is given by = P(\bar X > 141.4 millimetres)

      P(\bar X > 141.4) = P( \frac{ \bar X-\mu}{\frac{\sigma}{\sqrt{n} }  } } > \frac{141.4-141}{\frac{7}{\sqrt{39} }  } } ) = P(Z > 0.36) = 1 - P(Z \leq 0.36)

                                                            = 1 - 0.6406 = <u>0.3594</u>

The above probability is calculated by looking at the value of x = 0.36 in the z table which has an area of 0.6406.

8 0
3 years ago
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