Timeline for Why does increasing the sample size of coin flips not improve the normal curve approximation?
Current License: CC BY-SA 4.0
6 events
| when toggle format | what | by | license | comment | |
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| Jan 30, 2019 at 9:02 | vote | accept | Chris Snow | ||
| Jan 29, 2019 at 14:15 | history | edited | gung - Reinstate Monica | CC BY-SA 4.0 |
light editing
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| S Jan 28, 2019 at 21:02 | history | suggested | Chris Snow | CC BY-SA 4.0 |
removed superflous text
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| Jan 28, 2019 at 20:48 | review | Suggested edits | |||
| S Jan 28, 2019 at 21:02 | |||||
| Jan 28, 2019 at 20:39 | comment | added | Chris Snow |
Ah, makes sense. By setting the number of bins to 35 (_ = ax.hist(sums, bins=35, edgecolor='black', linewidth=1.2, density=True)) the third experiment now approximates the normal curve.
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| Jan 28, 2019 at 19:57 | history | answered | Ulfgard | CC BY-SA 4.0 |