STAT 100 Lecture Notes - Lecture 3: Statistical Parameter, The Province, Stratified Sampling
21 Apr 2016
School
Department
Course
Professor
8
STAT 100 Full Course Notes
Verified Note
8 documents
Document Summary
Lecture set 3: chapters 3 and 4 please read, pay particular attention to page 47-49 discussion on confidence statements, some suggested problems: Chapter 3: 3. 3, 3. 9, 3. 11, 3. 13, 3. 15, 3. 21, 3. 25, 3. 27. Chapter 4: 4. 3, 4. 5, 4. 7, 4. 9, 4. 15, 4. 17. Variation: statistics are subject to sampling variability, different individuals give different responses. This is variability: different samples of individuals represent different collections of responses, statistics computed on different samples vary. Variation: bias of the statistic, variability of the statistic. Variation: variability in a statistic is unfortunate, variability in a statistic is unavoidable, statistical science teaches us how the variability in a statistic behaves, statisticians learn how to interpret the variability in statistics and turn them. Variation: for example, a fundamental principle is: A statistic becomes less variable as the sample size is increased: generally, variability in a statistic is related to. Reducing bias and variability: to reduce bias, to reduce variability:
