Discover answers to your most pressing questions at Westonci.ca, the ultimate Q&A platform that connects you with expert solutions. Discover the answers you need from a community of experts ready to help you with their knowledge and experience in various fields. Get detailed and accurate answers to your questions from a dedicated community of experts on our Q&A platform.
Sagot :
Using it's concept, it is found that:
- The mean absolute deviation is of 26.
- It means that the values differ from the mean by an average of 26.
What is the mean absolute deviation of a data-set?
The mean of a data-set is given by the sum of all observations divided by the number of observations.
The mean absolute deviation of a data-set is the sum of the absolute value of the difference between each observation and the mean, divided by the number of observations.
The mean absolute deviation represents the average by which the values differ from the mean.
In this problem, the data-set is: {101, 115, 124, 125, 173, 165, 170}.
Hence, the mean is:
[tex]M = \frac{101 + 115 + 124 + 125 + 173 + 165 + 170}{7} = 139[/tex]
Then, the mean absolute deviation is:
[tex]M_d = \frac{|101-139| + |115-139| + |124-139| + |125-139| + |173-139| + |165-139| + |170-139|}{7} = 26[/tex]
Hence:
- The mean absolute deviation is of 26.
- It means that the values differ from the mean by an average of 26.
You can learn more about mean absolute deviation at https://brainly.com/question/3250070
We appreciate your visit. Our platform is always here to offer accurate and reliable answers. Return anytime. We hope you found this helpful. Feel free to come back anytime for more accurate answers and updated information. Find reliable answers at Westonci.ca. Visit us again for the latest updates and expert advice.
