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Ratling [72]
3 years ago
7

ORDERING REAL NUMBERS

Mathematics
2 answers:
Bess [88]3 years ago
4 0
3/25, 0.1, -√86, -9.34
grigory [225]3 years ago
3 0
3/25 = 0.12
-√86 = -9.27

Least to greatest: -9.34, -√86, 0.1, 0.12
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Plz help me with this
Genrish500 [490]

Answer:  D) 10 sin (πx) - 5

<u>Step-by-step explanation:</u>

The range (maximum - minimum) is 5 - (-15) = 20

The amplitude (A) is range (20) ÷ 2 = 10

The vertical shift (D) is maximum (5) - amplitude (10) = -5

Of the given options, only A & D are candidates.  Now we need to decide if it is a cos graph (A) or a sin graph (D).  If we shift the graph up 5 units (to eliminate the vertical shift) , the graph would pass through the origin.  Thus it is a sin graph and the answer must be option D.

7 0
3 years ago
I need help in this question please !​
Tresset [83]
The answer would be 100/101 if we follow according to the rule on which the sequence is based on!
5 0
3 years ago
Read 2 more answers
PLEASE ANSWER!!
s344n2d4d5 [400]
D
{x}^{2}  + 2xy \\  { ( - 3)}^{2}  + 2( - 3)(5) \\ 9 + 2( - 15) \\ 9 + ( - 30) \\  - 21
7 0
2 years ago
The lengths of lumber a machine cuts are normally distributed with a mean of 106 inches and a standard deviation of 0.3 inch. ​(
Vinvika [58]

Answer:

a) P(X>106.11)=P(\frac{X-\mu}{\sigma}\frac{106.11-106}{0.3})=P(z>0.37)

And we can find this probability with the complement rule:

P(z>0.37)=1-P(z

b) z =\frac{106.11- 106}{\frac{0.3}{\sqrt{44}}}=  2.431

And if we use the z score we got:

P(z>2.431) =1-P(z

Step-by-step explanation:

Let X the random variable that represent the lengths of a population, and for this case we know the distribution for X is given by:

X \sim N(106,0.3)  

Where \mu=106 and \sigma=0.3

Part a

We are interested on this probability

P(X>106.11)

And we can use the z score formula given by:

z=\frac{x-\mu}{\sigma}

And using this formula we got:

P(X>106.11)=P(\frac{X-\mu}{\sigma}\frac{106.11-106}{0.3})=P(z>0.37)

And we can find this probability with the complement rule:

P(z>0.37)=1-P(z

Part b

For this case we select a sample of n =44 and the new z score formula is given by:

z=\frac{x-\mu}{\frac{\sigma}{\sqrt{n}}}

And if we find the z score we got:

z =\frac{106.11- 106}{\frac{0.3}{\sqrt{44}}}=  2.431

And if we use the z score we got:

P(z>2.431) =1-P(z

6 0
2 years ago
QUESTION 9
Ratling [72]
The first one is (v+6)(v-6)
8 0
3 years ago
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