Answer:
<h3>
None of given </h3><h3>
x = -1²/₇ </h3>
Step-by-step explanation:
-(-10x - 8) = -(4x + 10)
10x + 8 = -4x - 10
-8 -8
10x = -4x - 18
+4x +4x
14x = -18
÷14 ÷14
x = -¹⁸/₁₄ = -⁹/₇ = -1²/₇
I think you meant -(10x-8)=-(4x+10)
Then:
-(10x - 8) = -(4x + 10)
-10x + 8 = -4x - 10
-8 -8
-10x = -4x - 18
+4x +4x
-6x = -18
÷(-6) ÷(-6)
<h3>
x = 3 D)</h3>
Answer:
Gustavo used a simulation where the data is quantitative’
<h2><u>Solution </u><u>-</u><u>:</u><u> </u></h2>
<u>Example </u><u>-</u><u>1</u><u> </u>
<u>Here </u><u>we </u><u>have </u><u>,</u><u>,</u><u>,</u><u> </u>

<u>solve </u><u>-</u><u>;</u><u> </u>
<u>6</u><u>x</u><u> </u><u>^</u><u>9</u><u>×</u><u>1</u><u>/</u><u>5</u>
<u>
</u>
<u>Convert </u><u>on </u><u>radical </u><u>form </u>
<u>
</u>
<u>Example </u><u>-</u><u>2</u><u> </u>
<u>
</u>
<h2>__________________</h2><h3>
<u>More </u><u>Basic </u><u>Information </u><u>-</u><u>:</u><u> </u></h3>
- hair in the question 3x is called radicant and five is called the index of radical. and in second question X is radicant of the number and five and two are index of the number.
<u>types </u><u>of </u><u>Radical </u><u>-</u><u>:</u><u> </u>
- pure radical
- mixed radical
- unequal radical
- equal radical
<u>rationalization </u>
- the operation of multiplication of a radical with the other radical to get product a rational number is called rationalisation.
<u>other </u><u>name </u>
Answer:
a) 0.1587
b) 0.0475
c) 0.7938
Step-by-step explanation:
Let's start defining our random variable.
X : ''Thickness (in mm) of ancient prehistoric Native American pot shards discovered in a Hopi village''
X is modeled as a normal random variable.
X ~ N(μ,σ)
Where μ is the mean and σ is the standard deviation.
To calculate all the probabilities, we are going to normalize the random variable X.
We are going to call to the standard normal distribution ''Z''.
[(X - μ) / σ] ≅ Z
We normalize by subtracting the mean to X and then dividing by standard deviation.
We can find the values of probabilities for Z in a standard normal distribution table.
We are going to call Φ(A) to the normal standard cumulative distribution evaluated in a value ''A''
a)

Φ(-1) = 0.1587
b)


1 - Φ(1.666) = 1 - 0.9525 = 0.0475
c)

Φ(1.666) - Φ(-1) = 0.9525 - 0.1587 = 0.7938
Sometimes should be the answer