Central Limits Theorem |
Description: | One of the most fundamental theorems in the study of statistical inference is the Central Limits Theorem. This states basically that the means of successive random samples taken from a population will be normally distributed whatever the underlying parent distribution. This aplet illustrates this and that the standard deviations are related by ratio. Sampling can be done from different parent distributions and the resulting collection of means compared to the equivalent Normal distribution. It is fairly slow to execute because of the need for repeated sampling but would be quite useful to teachers. |
Filename: | centlimit39.zip |
ID: | 5644 |
Author: | Colin Croft: http://www.hphomeview.com |
Downloaded file size: | 41,011 bytes |
Size on calculator: | 2 KB |
Platforms: | 39/40 |
User rating: | Not yet rated (you must be logged in to vote) |
Primary category: | Math |
Languages: | ENG |
File date: | 2003-05-20 13:10:12 |
Source code: | Not included |
Download count: | 4,823 |
Version history: | 2003-05-20: Added to site
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Archive contents: | Length Date Time Name
-------- ---- ---- ----
47 01-20-03 11:35 graph1.prg
1397 01-20-03 11:35 centrlim.apt
1469 01-20-03 11:35 dataset.prg
62976 01-20-03 14:41 Central Limits.doc
118 01-20-03 11:35 graph2.prg
31 01-20-03 11:35 HP39DIR.CUR
297 01-20-03 11:35 normal.prg
813 01-20-03 11:35 sampling.prg
123 01-20-03 11:35 START.prg
234 01-20-03 14:43 HP39DIR.000
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67505 10 files |
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