First, you need to find the derivative of this function. This is done by multiplying the exponent of the variable by the coefficient, and then reducing the exponent by 1.
f'(x)=3x^2-3
Now, set this function equal to 0 to find x-values of the relative max and min.
0=3x^2-3
0=3(x^2-1)
0=3(x+1)(x-1)
x=-1, 1
To determine which is the max and which is the min, plug in values to f'(x) that are greater than and less than each. We will use -2, 0, 2.
f'(-2)=3(-2)^2-3=3(4)-3=12-3=9
f'(0)=3(0)^2-3=3(0)-3=0-3=-3
f'(2)=3(2)^2=3(4)-3=12-3=9
We examine the sign changes to determine whether it is a max or a min. If the sign goes from + to -, then it is a maximum. If it goes from - to +, it is a minimum. Therefore, x=-1 is a relative maximum and x=1 is a relative miminum.
To determine the values of the relative max and min, plug in the x-values to f(x).
f(-1)=(-1)^3-3(-1)+1=-1+3+1=3
f(1)=(1)^3-3(1)+1=1-3+1=-1
Hope this helps!!
Answer:

Step-by-step explanation:
Slope-Intercept Form: y = mx + b
<em>m</em> - slope
<em>b </em>- y-intercept
Slope Formula: 
Step 1: Define
Point (9, -7)
Point (-6, -2)
Step 2: Find slope <em>m</em>
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Step 3: Find y-intercept <em>b</em>
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Step 4: Write linear equation in slope-intercept form

(3.5×10^(8))÷(6.6×10^(4))
=5,303.0303030303
answer : b
Solution :
Given :

n = 15

s = 0.5902
The hypothesis :


This is a 2 tailed test.
The significance level is 
The test statistic :


= -0.72
The p value : The p value for Z = -0.72 is 0.4716
The critical value : the critical value at α = 0.05 is +1.96 to -1.96
The decision rule :
If
or if
, then reject
.
Also if p value is less than α, then reject
.
The decision :
Since the Z falls in between +1.96 and -1.96, we fail to reject the
. Also since p value is greater than α, we fail to reject
.
The conclusion :
There is not sufficient evidence at the 95% significance level to warrant rejection of the claim that the pills come from a population in which the amount of the atorvastatin is equal to 25 mg.
Now calculating the mean and the standard deviation :

Standard deviation = 
Variance = 
Where, SS = 
X Mean 
24.1 24.89 0.62
24.4 24.89 0.24
24.3 24.89 0.35
24.9 24.89 0
24.1 24.89 0.62
24.2 24.89 1.72
24.1 24.89 0.04
26.2 24.89 0.04
25.1 24.89 0.24
25 24.89 0.01
24.7 24.89 0.04
25.1 24.89 0.04
25.3 24.89 0.17
25.5 24.89 0.37
25.5 24.89 0.37
n 15
Sum 373.3
Average 24.89
SS 4.8775
Variance =
0.348392857
Standard deviation 0.5902
The first one and the last one are correct.