Lecture "Probability & statistics - Chapter 7: Sampling" has contents: Sampling, sampling distribution, point estimate, acceptance interval, random sample, sampling distribution, acceptance interval. | Lecture Probability & statistics: Chapter 7 - Bùi Dương Hải Lecture 7. SAMPLING Sampling Sampling distribution Point Estimate Acceptance Interval [1] Chapter 7. pp. 298 - 335 PROBABILITY & STATISTICS – Bui Duong Hai – NEU – 1 Inferential Statistics Inferential Statistics: Deduce information of Population from Sample data. Population size: , = ( , , , ) Parameters: Population Mean Population proportion Proportion variance PROBABILITY & STATISTICS – Bui Duong Hai – NEU – 2 Example Population: 4 8 5 7 6 7 6 2 5 8 Parameter: = = Proportion of “odd value” = = Sample 1: 4 8 5 ̅ = , = , ̅ = = Sample 2: 8 6 7 8 ̅ = , = , ̅ = =0 PROBABILITY & STATISTICS – Bui Duong Hai – NEU – 3 . Random Sample Population data: from census Exactly Maybe impossible Difficult to gather Costly, much time Sample data: from surveys Possilbe to gather Easier than census Less cost and time PROBABILITY & STATISTICS – Bui Duong Hai – NEU – 4 Random Sample Random Sample: Sample drawn from population that every elements are selected with equal probability, and independently. For random sample =⋯= = =⋯= = PROBABILITY & STATISTICS – Bui Duong Hai – NEU – 5 Sampling Method Stratified sampling Cluster sampling Systematic sampling Convenience sampling Judgment sampling [1] PROBABILITY & STATISTICS – Bui Duong Hai – NEU – 6 . Sampling Distribution A sampling distribution is a distribution of all of the possible values of a statistic for a given sample selected from a population Distribution of Sample Mean Distribution of Sample Proportion Distribution of Sample Variance PROBABILITY & .