Statistics: sampling, description and probability
Populations and samples, the sampling designs and the biases that spoil them, levels of measurement, the graphical and numerical summaries of data, then the vocabulary of probability.
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앞면 Blinding뒷면 not telling participants which treatment a subject is receiving
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앞면 Box plot뒷면 a graph that gives a quick picture of the middle 50% of the data
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앞면 Categorical Variable뒷면 variables that take on values that are names or labels
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앞면 Cluster Sampling뒷면 a method for selecting a random sample and dividing the population into groups (clusters); use simple random sampling to select a set of clusters. Every individual in the chosen clusters is included in the sample.
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앞면 Conditional Probability뒷면 the likelihood that an event will occur given that another event has already occurred
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- 라이선스
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Creative Commons Attribution 4.0 International
CC-BY-4.0 - 저작자 표시
- Source : https://openstax.org/books/introductory-statistics/pages/preface — Licence : Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
- 출처
- OpenStax — Introductory Statistics (first edition)
- 가져온 날짜
- 주제
- 과학
- 언어
- English
- 버전
- 3
- 업데이트 날짜
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