Try putting the coronets (0,10) on the chart.
I got that by trying to figure out how they got $19 on week three, and I estimated that on week zero he had $10 to start out with.
So I tried 10 + 3 = $13 for week day one, 13 + 3 = $16 for week two, and 16 + 3 = $19 for week three. Which means I was correct in assuming that Juan had $10 to start out with.
(I'm sorry if my explanation wasn't clear enough, I'm very not good at math or explaining things, but I'm sure that this answer is correct... My 'strategy' to get said answer probably won't work well with other questions, though.)
Answer:
a. The sampling distribution for the sample mean will be skewed to the left centered at the average u, and standard deviation will be ∅
b. The sample distribution will be normal in shape and will be centered at the average u, . standard deviation will be ∅
1
c. As the size of the sample increases, the sample distribution should draw near and resemble the distribution of the population
Step-by-step explanation:
A sample is chosen randomly from a population that was strongly skewed to the left. a) Describe the sampling distribution model for the sample mean if the sample size is small. b) If we make the sample larger, what happens to the sampling distribution model’s shape, center, and spread? c) As we make the sample larger, what happens to the expected distribution of the data in the sample?
The following answers will march the questions above:
a. The sampling distribution for the sample mean will be skewed to the left centered at the average u, and standard deviation will be ∅
b. The sample distribution will be normal in shape and will be centered at the average u, . standard deviation will be ∅
1
c. As the size of the sample increases, the sample distribution should draw near and resemble the distribution of the population
If you enter this into a math solver it with solve it for you
Answer: B
(2x + 6)^2 can be rewrote as (2x + 6)(2x + 6).
Multiply out to get 4x^2 + 24x + 36
8 ones , 9 tens , 4 hundreds , 5 thousands , 9 ten thousands