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
Answer:
Step-by-step explanation:
John's age = w
His brother's age = 2*w = 2w
His sister's age = 16 years
Total age of all siblings = 31
w + 16 + 2w = 31
w + 2w + 16 = 31
Combine like terms
3w + 16 = 31
Subtract 16 from both sides
3w = 31 - 16
3w = 15
w = 15/3
w = 5

His brother's age = 2w
= 2*5
= 10

Answer:
It would be 66
Step-by-step explanation:
Answer: 78 hours
Step-by-step explanation:
1 cabinet = 3 hours
26 cabinets= 78 hours
We must multiply 26 by 3 to get the total amount of hours.
26x3=78
Answer:
the elevation of the entrance is -21
Step-by-step explanation:
The computation of the elevation of the entrance is shown below;
-15 = -1 + 2 ÷ 3e
e = -21
Hence, the elevation of the entrance is -21
We simply applied the above equation so that we can determine the elevation of the entrance