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Statistics

The assumed mean

Big class marks make big products. An assumed mean makes them small.

The marks, with a = 25 picked.
Step 1 of 3
  1. The marks, with a = 25 picked.
  2. Subtract 25 — small deviations remain.
  3. Their share, −4, added back: 25 − 4 = 21.

Subtract first, add back later

Here are 30 made-up readings, in minutes played.

Thirty made-up readings, five classes of width 10
Minutes playedFrequency
0-108
10-206
20-309
30-404
40-503

Pick any class mark and call it the assumed mean, a. Here a = 25. The deviation of a mark is d = x − a. It shows how far the mark is from a. A negative d means the mark is below a.

The marks measured against a = 25
Mark xd = x − aFrequency ff × d
5−208−160
15−106−60
25090
3510440
4520360

The f × d column adds up to −120. Here n = 30, the number of readings. To share is to divide by n: −120 ÷ 30 = −4. Each d was measured from a. So the average d shows how far the mean is from a. The mean is 25 − 4 = 21. In symbols, mean = a + Σ f d ÷ Σ f.

Pick an assumed mean a. Subtract it from every class mark to get d. Weight each d by its frequency. Share the total over n. Add that share back to a.

Tap different values of a and compare.

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This track

  1. 0 Start here
  2. 1 From a list to classes
  3. 2 The class mark
  4. 3 The direct mean
  5. 4 The assumed mean
  6. 5 Step by step
  7. 6 Checkpoint: tables, marks and three means
  8. 7 Counting to the median
  9. 8 The modal class
  10. 9 Which average, when
  11. 10 Checkpoint: counting and choosing
  12. 11 One table, three averages
  13. 12 Find the missing frequency
  14. 13 Two missing frequencies
  15. 14 Close the gaps between classes
  16. 15 From a "below" table to classes
  17. 16 Checkpoint: missing numbers, gaps and running totals
  18. 17 The big picture
  19. 18 Track quiz

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