Answer: Choice A
f(x) = (x + 2)^2 - 11
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Work Shown:
y = x^2 + 4x - 7
y+7 = x^2 + 4x
y+7+4 = x^2 + 4x + 4
y+11 = x^2 + 4x + 4
y+11 = (x + 2)^2
y = (x + 2)^2 - 11
f(x) = (x + 2)^2 - 11
In the third step, I added 4 to both sides to complete the square for the x^2+4x portion. Notice that (x+2)^2 = x^2+4x+4. So I added 4 to fill in the missing piece needed to complete the square.
Put another way the '4' added to both sides is because we first divided the x coefficient 4 in half to get 4/2 = 2. Then you square it to get 2^2 = 4.
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Alternative Method (optional)
y = x^2 + 4x - 7 is in the form of y = ax^2+bx+c
where: a = 1, b = 4, c = -7
Plug those a,b values into the formula below
h = -b/(2a)
h = -4/(2(1))
h = -2
This is the x coordinate of the vertex.
Use it to find the y coordinate of the vertex.
y = x^2 + 4x - 7
y = (-2)^2 + 4(-2) - 7
y = -11
The vertex is located at (h,k) = (-2,-11)
We have the template y = a(x-h)^2 + k update to y = (x + 2)^2 - 11 after plugging in a = 1, h = -2, and k = -11.
Speed of tsunami = sqrt (9.8d) m/s where d is the depth of the ocean.
Given speed of tsunami to be 320 m/s, depth of the ocean is calculated as follows:
320=sqrt (9.8d) => 320^2 = 9.8d => d= (320^2)/9.8 = 10448.98 m
To nearest meter, d=10449 m
So, the town had a population on 4,500 people in 1995. Then from 1995 to 2000, the population increased by 15%.
Convert 15% to a decimal by dividing it by 100. Then, the population in 1995 by this decimal.
15% ÷ 100 = 0.15
4,500 × 0.15 = 675
Now, add this to the population in 1995.
4,500 + 675 = 5,175
This means that the town had a population of 5,175 people in 2000.
To calculate the town's population in 2005, repeat the same steps we took to find the population in 2000, except this time we will subtract instead of add since the population DECREASED.
4% ÷ 100 = 0.4
5,175 × 0.4 = 207
5,175 - 207 = 4,968
FINAL ANSWER:
The town had a population of 4,968 in 2005.
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Read more on Brainly.com - brainly.com/question/8884953#readmoreAnswer:
Step-by-step explanation:
Answer is 0.300 = A u move the decimal
Answer with Step-by-step explanation:
Since we have given that
Mean price of an existing single family home = $243761
So, the hypothesis:
Type I error is a error in which null hypothesis is correct and actual but it gets rejected.
It means mean price is exactly $243761, but it is proved that mean price would be higher than $246761.
Type II error is a error in which null hypothesis is not correct but inspite of that it gets accepted.
So, here, mean price is higher than $243761 but it is proved by calculation that mean price is equal to $243761.