The mean of a data sample can be found by adding all the terms in the data sample and dividing the result by the number of terms. In the first case we have the following data sample:
The mean of this sample is:
The mean absolute deviation is the sum of the differences between each data value and the mean, divided by the number of data values, the formula is:
Therefore, we must calculate the positive difference between each value and the mean, add them up, and divide the result by the number of data points in the sample. In the case of the first sample we get:
Solving the operation:
If done this way, all the results for each data set must be correct.
I'm sorry, but the spinner that you choose does matter in this case.
For spinner A, there are 5 equal sections with a 1 being in only one of them as well. This gives you a
chance of landing on the number 1.
For spinner B, there are 6 equal sections with a 1 being in only one of them. This gives you a
chance of landing on the number 1 - a worse chance than if you were to use spinner A.
So for this question,
you have a better chance of landing on number 1 if you choose to use spinner A.
Answer:
C
Step-by-step explanation:
The best estimate for 1,374 is 1,400 and the best estimate for 6 is 10. This is because anything that is 5 and above you change it. Example: 16 the best estimate for 16 is 20 because 6 is above 5. And when a number is 4 and below you change the number below. Example: 12 the best estimate for 12 is 10 because 2 is below 4. And when the number is perfect like 10, you can keep the number the same. Example:10,20,30,40,50,60etc.
Hope this Helped! :)
