Given the following rectangle and circle, what appropriate value of x are the two areas equal? A: x= 3.4 B: x=5.8 C: x= 10.2 D:
the curves do not intersect, so there is no solution
1 answer:
The correct option is D:
the curves do not intersect, so there is no solution
<h3>For what values of x are the two areas equal?</h3>
The area of the rectangle is given by:
f(x) = (x + 7)*(5x - 3)
f(x) = 5x² -3x + 35x - 21
f(x) = 5x² + 32x - 21
For the circle, the area is:
g(x) = 2*pi*(x + 6)^2
g(x) = 2pi*x^2 + 12pi*x + 72pi
The solution is given g(x) = f(x).
By graphing both functions (the green curve is the area of the rectangle, the orange one is the area of the circle). The two curves never do intercept, so the correct option is D.
If you want to learn more about areas:
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Answer:
a)From the central limit theorem we know that the distribution for the sample mean is given by:
And the standard error for the mean would be:
b) We want this probability:
And we can use the z score formula given by:
And replacing we got:
And we can find this probability with the complement rule and the normal standard deviation or excel and we got:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
Solution to the problem
Part a
From the central limit theorem we know that the distribution for the sample mean is given by:
And the standard error for the mean would be:
Part b
We want this probability:
And we can use the z score formula given by:
And replacing we got:
And we can find this probability with the complement rule and the normal standard deviation or excel and we got: