Statistics without Tears An Introduction for Non-Mathematicians
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| Category | US | EU | UK | Chest (in) | Waist (in) | Hips (in) |
|---|---|---|---|---|---|---|
| Men | XS | 44 | 34 | 32-34 | 26-28 | 33-35 |
| S | 46 | 36 | 34-36 | 28-30 | 35-37 | |
| M | 48 | 38 | 38-40 | 32-34 | 39-41 | |
| L | 50 | 40 | 42-44 | 36-38 | 43-45 | |
| XL | 52 | 42 | 46-48 | 40-42 | 47-49 | |
| Women | XS | 32 | 6 | 31-32 | 24-25 | 33-34 |
| S | 34 | 8 | 33-34 | 26-27 | 35-36 | |
| M | 36 | 10 | 35-36 | 28-29 | 37-38 | |
| L | 38-40 | 12-14 | 37-39 | 30-32 | 39-41 | |
| XL | 42 | 16 | 40-42 | 33-35 | 42-44 | |
| Youth | XS | 128 | 7 | 26-28 | 23-24 | 26-28 |
| S | 134 | 8 | 28-30 | 24-25 | 28-30 | |
| M | 140 | 10 | 30-32 | 25-26 | 30-32 | |
| L | 146 | 12 | 32-34 | 26-27 | 32-34 | |
| XL | 152 | 14 | 34-36 | 27-28 | 34-36 |
| Category | US | EU | UK | Waist (in) | Hip (in) | Inseam (in) |
|---|---|---|---|---|---|---|
| Men | 28 | 44 | 28 | 28 | 34 | 30 |
| 30 | 46 | 30 | 30 | 36 | 31 | |
| 32 | 48 | 32 | 32 | 38 | 32 | |
| 34 | 50 | 34 | 34 | 40 | 33 | |
| 36 | 52 | 36 | 36 | 42 | 34 | |
| Women | 0 | 32 | 4 | 24 | 34 | 30 |
| 2 | 34 | 6 | 25 | 35 | 30 | |
| 4 | 36 | 8 | 26 | 36 | 31 | |
| 6 | 38 | 10 | 27 | 38 | 32 | |
| 8 | 40 | 12 | 28 | 40 | 32 |
| Category | US | EU | UK | Foot Length (in) |
|---|---|---|---|---|
| Men | 6 | 39 | 5.5 | 9.25 |
| 7 | 40 | 6.5 | 9.625 | |
| 8 | 41 | 7.5 | 10 | |
| 9 | 42 | 8.5 | 10.25 | |
| 10 | 43 | 9.5 | 10.625 | |
| 11 | 44 | 10.5 | 11 | |
| 12 | 45 | 11.5 | 11.25 | |
| 13 | 46 | 12.5 | 11.625 | |
| Women | 5 | 35 | 2.5 | 8.5 |
| 6 | 36 | 3.5 | 8.875 | |
| 7 | 37 | 4.5 | 9.25 | |
| 8 | 38 | 5.5 | 9.625 | |
| 9 | 39 | 6.5 | 10 | |
| 10 | 40 | 7.5 | 10.25 | |
| 11 | 41 | 8.5 | 10.625 | |
| 12 | 42 | 9.5 | 11 | |
| M (Unisex) | 5 | 37 | 4.5 | 8.75 |
| 6 | 38 | 5.5 | 9 | |
| 7 | 39 | 6.5 | 9.5 | |
| 8 | 40 | 7.5 | 10 | |
| 9 | 41 | 8.5 | 10.25 | |
| 10 | 42 | 9.5 | 10.625 | |
| 11 | 43 | 10.5 | 11 | |
| 12 | 44 | 11.5 | 11.25 |
THE CLASSIC GUIDE, NOW FULLY REVISED AND UPDATED
Why do we need Statistics?
What do terms like ‘dispersion’, ‘correlation’, ‘normal distribution’ and ‘significance’ actually mean?
How can I learn how to think statistically?
This bestselling introduction is for anyone who wants to know how statistics works and the powerful ideas behind it. Teaching through words and diagrams instead of requiring you to do complex calculations, it assumes no expert knowledge and makes the subject accessible even to readers who consider themselves non-mathematical. This clear and informative ‘tutorial in print’ includes questions for you to respond to in the light of what you have read so far, ensuring your developing ability to think statistically.
