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Artyom0805 [142]
4 years ago
9

The expression x^3-64 can be written as (x)^3-(4)^3. what is the factorization of x^3-64?

Mathematics
1 answer:
ivolga24 [154]4 years ago
3 0
It's B Bro.....................
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Which statement about the system of equations is true?
vagabundo [1.1K]
8x + 6y = 10 ----------- (1)
5x - 3y = 2.2 ---------- (2)

(2) x 2:
10 x - 6y = 4.4 --------(2a)

(2a) + (1)
18x = 14.4
x = 1.8 ------- sub into (1)
8 (1.8) + 6y = 10
14.4 + 6y = 10
6y = 10 - 14.4
6y = - 4.4
y = - 0.73

There is 1 set of solution to it. (Answer C)


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Solve the quadratic equation by completing the square. x^2-10x+26=8
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Answer:

can you please re- write your equation

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3 years ago
If the outliers are not included, what is the mean of the data set?
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If you don't include the outlier (50) then it is 79.7
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The extract of a plant native to Taiwan has been tested as apossible treatment for Leukemia. One of the chemical compoundsproduc
Gala2k [10]

Answer:

1. P(X>69)=P(Z>-1.136)=1-P(Z

2. P(X

3. P(52.6 \leq X \leq 105.4)=P(-3

Step-by-step explanation:

Assuming the value for the mean 79 and the deviation 8.8

1) Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".  

2) Part a

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

X \sim N(79,8.8)  

Where \mu=79 and \sigma=8.8

We are interested on this probability

P(X>69)

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

P(X>69)=P(\frac{X-\mu}{\sigma}>\frac{69-\mu}{\sigma})=P(Z-1.136)

And we can find this probability on this way:

P(Z>-1.136)=1-P(Z

3) Part b

P(X

And the best way to solve this problem is using the normal standard distribution and the z score given by:

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

If we apply this formula to our probability we got this:

P(X

And we can find this probability on this way:

P(Z

4) Part c

We need to find first the limits for 3 deviations within the mean

\mu -3 \sigma = 79-3(8.8)=52.6

\mu +3 \sigma = 79+3(8.8)=105.4

P(52.6

And we can find this probability on this way:

P(-3

And in order to find these probabilities we can use tables for the normal standard distribution, excel or a calculator.  

P(-3

4 0
3 years ago
What is the second one
padilas [110]
C + D + E = 180
C + 63 + 35 = 180
C + 98 = 180
C = 180 - 98
C = 82°
4 0
3 years ago
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