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Transcribed Image Text:Calculate the mean and mean absolute deviation of these two data sets and use that to compare the two sets of data. Set A: 4, 6, 7, 8, 5, 6 Set B: 5, 7, 4, 8, 9, 9 Set B has a greater average but has less consistent data values than Set A. Set B has a greater average and is more consistent data values than Set A. Set B has a lesser average and more consistent data value than Set A. Set B has a lesser average and less consistent data values than Set A. Students who’ve seen this question also like: Related Algebra Q&AFind answers to questions asked by students like you. Q: solve each equation and express the solutions in decimal form. Be sure to check your solutions. Use ... A: we have to solve the given equation and express the solution in decimal form. 0.14n - 0.26 = 0.958 Q: Find scalars s and t so that LU = A. A: Given: A=2611, L=20t-2 and U=130s. To find scalars s and t so that LU=A. Solution: Finding LU. LU=20... 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How does the mean absolute deviation MAD help you compare data sets?Mean absolute deviation (MAD) of a data set is the average distance between each data value and the mean. Mean absolute deviation is a way to describe variation in a data set. Mean absolute deviation helps us get a sense of how "spread out" the values in a data set are.
Why should you use the mean and mean absolute deviation to compare?A high mean absolute deviation tells us that many of the data values are spread out further from the mean. We can use the mean absolute deviation to compare data sets.
How does the mean absolute deviation MAD of the data in set 2 compare to the mean absolute deviation of the data in?How does the mean absolute deviation (MAD) of the data in set 2 compare to the mean absolute deviation of the data in set 1? The MAD of set 2 is 13.35 more than the MAD of set 1.
How do you interpret the mean absolute deviation of the data?Take each number in the data set, subtract the mean, and take the absolute value. Then take the sum of the absolute values. Now compute the mean absolute deviation by dividing the sum above by the total number of values in the data set. Finally, round to the nearest tenth.
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How can you use the mean absolute deviation of two data sets to compare them
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