Sampling distribution and the central limit theorem.
Billy Jack explains the central limit theorem, stating that the average of a random sample from any population tends to be normally distributed regardless of the original population's distribution, as the sample size increases.
| Other Authors: | |
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| Format: | Video |
| Language: | English |
| Language Notes: | Closed-captioned in English. |
| Published: |
[Washington, D.C.] :
Georgetown University,
2020.
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| Series: | Statistical concepts ;
8. |
| Subjects: | |
| Online Access: | Connect to this streaming video |
| Summary: | Billy Jack explains the central limit theorem, stating that the average of a random sample from any population tends to be normally distributed regardless of the original population's distribution, as the sample size increases. |
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| Physical Description: | 1 online resource (1 video file (00:06:18)) : sound, colour. |
| ISBN: | 9781529692846 1529692849 |