In science class, Clare and Lin estimate the mass of eight different objects that actually weigh 2,000 grams each. Some summary statistics: Clare mean: 2,000 grams MAD: 275 grams median: 2,000 grams IQR: 500 grams Lin mean: 2,000 grams MAD: 225 grams median: 1,950 grams IQR: 350 grams Which student was better at estimating the mass of the objects? Explain your reasoning.

Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter7: Applying Fractions
Section7.1: Ratios
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In science class, Clare and Lin estimate the mass of eight different objects that actually weigh 2,000 grams each.

Some summary statistics:

Clare

  • mean: 2,000 grams
  • MAD: 275 grams
  • median: 2,000 grams
  • IQR: 500 grams

Lin

  • mean: 2,000 grams
  • MAD: 225 grams
  • median: 1,950 grams
  • IQR: 350 grams

Which student was better at estimating the mass of the objects? Explain your reasoning.

Expert Solution
Step 1

Given Information:

In a science class, Clare and Lin estimate the mass of eight different objects that actually weigh 2,000 grams each.

Clare

  • mean: 2,000 grams
  • MAD: 275 grams
  • median: 2,000 grams
  • IQR: 500 grams

Lin

  • mean: 2,000 grams
  • MAD: 225 grams
  • median: 1,950 grams
  • IQR: 350 grams

Which student was better at estimating the mass of the objects.

Compare summary statistics for both Clare and Lin:

We observe that, mean is same 2000 grams for both.

Median is almost same: Median of Clare is 2000 grams and Median of Lin is 1950 grams which is approximately 2000.

Mean Absolute Deviation (MAD) is a measure of variability or dispersion, it is the average distance between each data value and the mean. It describe the variation in the data. In other words, it indicates how spread out the data values are, from the mean.

MAD - 275 grams vs 225 grams. There is more MAD for Clare's data.

Interquartile Range (IQR) is also a measure of dispersion, it tells how spread out the "middle" values are, or it tells when some of the other values are "too far" from the central value.

IQR- 500 grams vs 350 grams. 

 

 

 

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