| Tag |
First Indicator |
Second Indicator |
Subfields |
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|a (OCoLC)on1428511768
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|a SGPBL
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| 020 |
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|a 9781529692846
|q Sage Research Methods Video: Quantitative and Mixed Methods
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|a (OCoLC)1428511768
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|j eng
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|a 519.2
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| 049 |
|
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|a TXAM
|
| 245 |
0 |
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|a Sampling distribution and the central limit theorem.
|
| 264 |
|
1 |
|a [Washington, D.C.] :
|b Georgetown University,
|c 2020.
|
| 300 |
|
|
|a 1 online resource (1 video file (00:06:18)) :
|b sound, colour.
|
| 336 |
|
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|a two-dimensional moving image
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| 338 |
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| 490 |
1 |
|
|a Statistical concepts ;
|v 8
|
| 511 |
0 |
|
|a Academic, Billy Jack.
|
| 520 |
8 |
|
|a 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.
|
| 546 |
|
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|a Closed-captioned in English.
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| 588 |
|
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|a Description based on XML content.
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| 650 |
|
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|a Central limit theorem.
|
| 650 |
|
6 |
|a Théorème central limite.
|
| 700 |
1 |
|
|a Jack, Billy,
|e academic.
|
| 830 |
|
0 |
|a Statistical concepts ;
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| 856 |
4 |
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|u http://proxy.library.tamu.edu/login?url=https://methods.sagepub.com/video/sampling-distribution-and-the-central-limit-theorem
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|
| 952 |
f |
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|a Texas A&M University
|b College Station
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|e QA273.67 .S26 2020
|h Library of Congress classification
|
| 998 |
f |
f |
|a QA273.67 .S26 2020
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|l Available Online
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