There are enough information's already given in the question. Based on those information's that answer can be easily deduced.
Radius of the sphere = 8 units
Then
Surface area of the sphere = 4 *pi * r^2
= 4 * pi * (8)^2
= 4 * pi * 64
= 256pi
I hope that this answer has come to your help.
Answer:
the answer is b
Step-by-step explanation:
7pi / 4
Using the Factor Theorem, the polynomials are given as follows:
1. 
2. 
3. P(x) = -0.1(x³ - 4x² - 3x + 18)
<h3>What is the Factor Theorem?</h3>
The Factor Theorem states that a polynomial function with roots
is given by:

In which a is the leading coefficient.
Item a:
The parameters are:

Hence the equation is:
P(x) = (x - 1)²x²(x + 4)
P(x) = (x² - 2x + 1)(x + 4)x²
P(x) = (x³ + 2x² - 7x + 1)x²

Item b:
The roots are:

Hence:
P(x) = a(x - 4)²x(x + 4)
P(x) = a(x² - 16)x(x - 4)
P(x) = a(x³ - 16x)(x - 4)

It passes through the point x = 5, P(x) = 36, hence:
45a = 36.
a = 4/5
a = 0.8
Hence:

Item 3:
The roots are:

Hence:
P(x) = a(x - 3)²(x + 2)
P(x) = a(x² - 6x + 9)(x + 2)
P(x) = a(x³ - 4x² - 3x + 18)
For the y-intercept, x = 0, y = -1.8, hence:
18a = -1.8 -> a = -0.1
Thus the function is:
P(x) = -0.1(x³ - 4x² - 3x + 18)
More can be learned about the Factor Theorem at brainly.com/question/24380382
#SPJ1
Answer:
Step-by-step explanation:
for x, then 7 = (x1+9) /2
14 = x1+9
5 = x1
for y , then 4 = (y1+7 ) /2
8 = y1 + 7
1 = y1
J = (5,1)
Answer: the probability that the mean price for the sample was between $3.781 and $3.811 that week is 0.94122
Step-by-step explanation:
Given that;
sample size n = 32
mean μ = $3.796
standard deviation σ = 0.045
P(3.781 < x" < 3.811) = ?
Standard Error S.E = σ/√n = 0.045/√32 = 0.007955
z value for 3.781, z = x-μ/S.E = (3.781-3.796)/0.007955 = -1.8856 ≈ -1.89
z value for 3.811, z = x-μ/S.E = (3.811-3.796)/0.007955 = 1.8856 ≈ 1.89
P(3.781 < x" < 3.811) = P( -1.89 < z < 1.89)
= P(z < 1.89) - P(z < -1.89)
from z-score table
⇒ 0.9706 - 0.02938
⇒ 0.94122
Therefore the probability that the mean price for the sample was between $3.781 and $3.811 that week is 0.94122