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BaLLatris [955]
3 years ago
15

What method would be best to use 53=4(x-3)^2-11

Mathematics
1 answer:
Veronika [31]3 years ago
7 0

Answer:

x = 7 , -1

Step-by-step explanation:

<u>SOLUTION :-</u>

4(x-3)^2-11 = 53

  • Add 11 to both the sides.

=> 4(x-3)^2-11+11=53+11

=> 4(x-3)^2 = 64

  • Divide both the sides by 4.

=> \frac{4(x-3)^2}{4} = \frac{64}{4}

=> (x-3)^2 = 16

  • Root square both the sides.

=> \sqrt{(x-3)^2} = \sqrt{16}

=> x-3 = +4 \; or -4

Here , x will have two values -

1) x-3 = 4

=> x = 4 + 3 = 7

2) x - 3 = -4

=> x = -4 + 3 = -1

<u>VERIFICATION :-</u>

When x = 7 ,

4(x-3)^2 - 11 = 4(7 - 3)^2 - 11

                       = 4 \times 4^2 - 11

                       = 4 \times 16 - 11

                       = 64 - 11

                       = 53

When x = -1 ,

4(x-3)^2 - 11 = 4(-1 - 3)^2 - 11

                       = 4 \times (-4)^2 - 11

                       = 4 \times 16 - 11

                       = 64 - 11

                       = 53

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Thompson and Thompson is a steel bolts manufacturing company. Their current steel bolts have a mean diameter of 144 millimeters,
valentinak56 [21]

Answer:

The probability that the sample mean would differ from the population mean by more than 2.6 mm is 0.0043.

Step-by-step explanation:

According to the Central Limit Theorem if we have a population with mean μ and standard deviation σ and appropriately huge random samples (n > 30) are selected from the population with replacement, then the distribution of the sample  means will be approximately normally distributed.

Then, the mean of the distribution of sample mean is given by,

\mu_{\bar x}=\mu

And the standard deviation of the distribution of sample mean  is given by,

\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}

The information provided is:

<em>μ</em> = 144 mm

<em>σ</em> = 7 mm

<em>n</em> = 50.

Since <em>n</em> = 50 > 30, the Central limit theorem can be applied to approximate the sampling distribution of sample mean.

\bar X\sim N(\mu_{\bar x}=144, \sigma_{\bar x}^{2}=0.98)

Compute the probability that the sample mean would differ from the population mean by more than 2.6 mm as follows:

P(\bar X-\mu_{\bar x}>2.6)=P(\frac{\bar X-\mu_{\bar x}}{\sigma_{\bar x}} >\frac{2.6}{\sqrt{0.98}})

                           =P(Z>2.63)\\=1-P(Z

*Use a <em>z</em>-table for the probability.

Thus, the probability that the sample mean would differ from the population mean by more than 2.6 mm is 0.0043.

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3 years ago
Which expression could be used to determine the cost of a $40 video game after a 15 percent discount?
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Answer:

(C)

Step-by-step explanation:

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3 years ago
Can someone help me?
zheka24 [161]

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That is : 1 , 2 , 4 , 8 , 16. . . . .

We know that : nth term in a Geometric Sequence is = a.rⁿ⁻¹

where a is the first term

r is the common ratio, which is given by ratio of 2nd term to 1st term

For the above Sequence, a = 1 and r = 2

Given : nth term over 1000

⇒ 1.2ⁿ⁻¹ = 1024

⇒ 2ⁿ⁻¹ = 2¹⁰

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That is : 0 , 3 , 6 , 9 , 12

We know that : nth term in a Arithmetic Sequence is = a + (n - 1)d

where a is the first term

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4 0
3 years ago
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Crank

Answer: Fourth option.

Step-by-step explanation:

By definition, a relationship is a function if and only if each input value (or each x-value) has only one output value (or y-value).

Given the first table:

x|2\ \ 2\ \ 3\ \ 3\\y|5-5\ 6-6

You can notice that the input values 2 and 3 do not have only one output value. Therefore, this table does not represent a function.

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x|4-4\ 4\ -4\\y|1\.\ \ 2\ \.\ \ 3\ \ 4

 You can notice that the input values 4 and -4 do not have only one output value. Therefore, this table does not represent a function.

The third table is:

x| 6\ 6\ 7\ 7\ \\y|2\ 3\ 4\ 5

 You can notice that the input values 6 and 7 do not have only one output value. Therefore, this table does not represent a function.

The fourth table is:

x| 2\ -2\ 4\ -4\ \\y|8\ \.\ \ 8\ \ 12\ \ 12

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3 years ago
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blagie [28]

Answer:

B) n ≥ -20

Step-by-step explanation:

n/4 ≥ -5

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