Answer:
A. 756
B. 69.44 or 62.5
Step-by-step explanation:
To get the answer for B you first convert 0.5mm to micrometers.
0.5 millimeters = 500 micrometers
Now, we divide 500 by 8
500 ÷ 8 = 62.5
To get the exact result, we divide 500 by 7.2
500 ÷ 7.2 = 69.44
The best measure of center tendency for this set of data would be the median. It is the best measurement because the data set has an outlier. The outlier is the 30. So to find the median we first order the data set and then find out if the set is an even or odd set. This set is even so we just chose the middle number. If the set was even, we would add the two center number and divide them by 2.
3, 3, 4, 4, 4, 5, 5, 5, 30
The center tendency = 4
Answer:
b. The histogram is decentralized over several data points.
Step-by-step explanation:
Kernel density estimators can be classified as non-parametric density estimators. The Kernel density estimators first smooth each data point into a density bump, then sum them up to obtain the final density estimated curve. A good histogram analysis skill is reqired to understand kernel density estimators.
Answer:
(0,-2)
Step-by-step explanation:
Answer:
9 hours and 20 minutes.
Step-by-step explanation:
In one hour, Amanda can proofread 17 reports.
In one hour, Sally can proofread 28 reports.
That means together, they can proofread 45 reports in one hour.
So we need to divide the total amount of reports by how much they can read in an hour:
420/45 = 28/3 = 9 1/3
The time it takes between the two of them is 9 hours and 20 minutes.
