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← 2. Describing Data
Lesson 3.2 7 min · 175 words

Mean, median and mode

These are three ways to describe the centre of data. They answer different questions and react differently to unusual values.

The mean is sum divided by valid count. It uses every value and is the balance point: deviations from it sum to zero. The median is the middle sorted value, or the average of the middle two for an even-sized numeric list. It depends on position and is less sensitive to extreme magnitudes. The mode is the most frequent value or category; there may be several modes.

Mean and SD are often useful for a roughly symmetric, single-group numerical distribution. Median and IQR often describe a typical observation in a long-tailed distribution. For a category, report counts or proportions and possibly the mode. A total is related to the mean, not generally to the median.

W2 reports platform-use mean 1,592 and median 1,426 minutes per student over the term. The mean is pulled upward by high users. For a typical student, median plus IQR is natural. For total recorded workload, sum or valid n times the observed mean is appropriate. Multiplying an observed mean by a larger population count with missing values introduces an assumption.

Sources: W2 PDF pp. 2-60; L2 Sections 1-8. The personalised Lab 2 has 240 synthetic students, unlike the 1,200-student lecture dataset. Do not mix their numbers.

Practice problems

Supplementary study questions on the lecture concepts — not verbatim exam questions. Each answer counts toward spaced review.

1. Conceptual understanding

Definitions and distinctions.

Question 1 of 6 · +5 XP

Which summary often describes typical use in a strongly right-tailed distribution?

Question 2 of 6 · +5 XP

Which quantity reconstructs total observed workload?

2. Application

Apply the concept to a case or calculation.

Question 3 of 6 · Mean versus median · +5 XP

For [2,3,3,4,18], which pair is mean and median?

Question 4 of 6 · Mode · +5 XP

What is the mode of [A,B,B,C,C]?

3. Interpretation and limitations

Evaluate assumptions and justify conclusions.

Question 5 of 6 · Outlier effect · +5 XP

Changing only 18 to 180 in [2,3,3,4,18] does what?

Question 6 of 6 · Observed total · +5 XP

A mean of 12 minutes comes from 20 observed students. What is their total?

Explain it in writing

Self-checked, not marked. Write a few sentences, then compare with the example answer. Your writing is saved as you type.

Show an example answer

Median with IQR is often suitable because a few very large times have less effect on it. Still report the distribution and missing count.

Check: did you answer the question, use evidence or working, and avoid claiming more than the evidence supports?

Show an example answer

When total observed workload matters: observed total equals valid n times observed mean. Using a larger population n when values are missing adds an assumption.

Check: did you answer the question, use evidence or working, and avoid claiming more than the evidence supports?

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