<h2>
Answer:</h2>
The value of x is -1/2
<h2>
Step-by-step explanation:</h2><h3>Question :</h3>
Solve the equation of f(x + 2) = f(x - 2) + 4, where f(x) = 3 + 2x + x^2
<h3>Solution :</h3>
First, we need to split the equation and find the answer to each function
f(x + 2) = 3 + 2(x + 2) + (x + 2)^2
f(x + 2) = 3 + 2x + 4 + x^2 + 4x + 4
<u>f(x + 2) = x^2 + 6x + 11</u>
f(x - 2) = 3 + 2(x - 2) + (x - 2)^2
f(x - 2) = 3 + 2x - 4 + x^2 - 4x + 4
<u>f(x - 2) = x^2 - 2x + 3</u>
Second, we need to find the value of x
f(x + 2) = f(x - 2) + 4
=> x^2 + 6x + 11 = x^2 - 2x + 3 + 4
=> x^2 - x^2 + 6x + 11 = - 2x + 3 + 4
=> 6x + 11 = -2x + 7
=> 6x = -2x - 4
=> 6x + 2x = -4
=> 8x = -4
=> x = -1/2
<h3>Conclusion :</h3>
The value of x is -1/2
Answer:
Machine A will have produced 20 more parts than machine B would in 5 hours
Step-by-step explanation:
Answer: X=13/3
Step-by-step explanation:
1. Multiply Both sides by 12
8x-10=5x+3
2. Collect the like terms, calculate the sum
8x-5x=3+10
3.Divide both sides by 3
3x=13
Answer X=13/3
Alternative Form,
X= 4 1/3, X=4.3
It is equal to 21/2 which is a rational number
Answer:
Population Mean = 2.0
Population Standard deviation = 0.03
Step-by-step explanation:
We are given that the inspector selects simple random samples of 30 finished products and computes the sample mean product weight.
Also, test results over a long period of time show that 5% of the values are over 2.1 pounds and 5% are under 1.9 pounds.
Now, mean of the population is given the average of two extreme boundaries because mean lies exactly in the middle of the distribution.
So, Mean,
=
= 2.0
Therefore, mean for the population of products produced with this process is 2.
Since, we are given that 5% of the values are under 1.9 pounds so we will calculate the z score value corresponding to a probability of 5% i.e.
z = -1.6449 {from z % table}
We know that z formula is given by ;
~ N(0,1)
-1.6449 =
⇒
⇒
0.0608 *
{as sample size is given 30}
⇒
= 0.03 .
Therefore, Standard deviation for the population of products produced with this process is 0.0333.