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Sampling variability and CLT.
- Format:
- Video
- Series:
- Inferential statistics ; 2.
- Inferential statistics ; 2
- Language:
- English
- Subjects (All):
- Sampling (Statistics).
- Central limit theorem.
- Physical Description:
- 1 online resource (1 video file (00:20:59)) : sound, colour.
- Other Title:
- Sampling variability and central limit theorem
- Place of Publication:
- [Durham, North Carolina] : Duke Learning Innovation, 2016.
- Language Note:
- Closed-captioned in English.
- Summary:
- Dr. Mine Cetinkaya-Rundel introduces sampling distributions and the central limit theorem, explaining how random samples from a population create a distribution of means, and the central limit theorem predicts this distribution will be approximately normal for large enough samples.
- Participant:
- Academic, Mine Cetinkaya-Rundel PhD.
- Notes:
- Description based on XML content.
- ISBN:
- 1-5296-9477-9
- 9781529694772
- OCLC:
- 1428512479
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