The answer is a i believe
Answer:
(fg)(x) = x^3-4x^2-16x+64, D: All Real Numbers
Step-by-step explanation:
(fg)(x) = f(x) x g(x)
= 16-x^2(4-x)
=64-16x-4x+x^3
(fg)(x) = x^3-4x^2-16x+64
Domain is all real numbers because you can substitute any real number for x and the function would still work.
Answer:
His average speed for the rest of the journey was of 48mph.
Step-by-step explanation:
We use the following relation to solve this question:

In which v is the velocity, d is the distance and t is the time.
First 32 miles at an average speed of 64mph.
So the time for these 32 miles is:




Rest of the trip:
200 - 32 = 168 miles in 4 - 0.5 = 3.5 hours. So the average speed is of:

His average speed for the rest of the journey was of 48mph.
By factoring x^3-64 put you should get the second option as your answer
(x-4)(x^2+4x+16)
Using the <em>normal distribution and the central limit theorem</em>, it is found that the probability the mean cost of the weddings is more than the mean cost of the showers is of 0.9665.
<h3>Normal Probability Distribution</h3>
In a normal distribution with mean
and standard deviation
, the z-score of a measure X is given by:

- It measures how many standard deviations the measure is from the mean.
- After finding the z-score, we look at the z-score table and find the p-value associated with this z-score, which is the percentile of X.
- By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation
.
- When two variables are subtracted, the mean is the subtraction of the means, while the standard error is the square root of the sum of the variances.
<h3>What is the mean and the standard error of the distribution of differences?</h3>
For each sample, they are given by:


For the distribution of differences, we have that:


The probability the mean cost of the weddings is more than the mean cost of the showers is P(X > 0), that is, <u>one subtracted by the p-value of Z when X = 0</u>, hence:

By the Central Limit Theorem



has a p-value of 0.0335.
1 - 0.0335 = 0.9665.
More can be learned about the <em>normal distribution and the central limit theorem</em> at brainly.com/question/24663213