POL232H1 Lecture Notes - Lecture 1: Box Plot, Rstudio, Xquartz
Document Summary
Part 1: descriptive statistics, analysis of sample data. Part 2: statistical inference for single variable. Part 3: statistical inference for linear regression. Week 2 and 3: descriptive statistics for single variable. Week 4 and 5: descriptive statistics for bivariate analysis. Week 7 and 8: statistical inference for single variable. Results are considered accurate within three percentage points, 19 times out of 20 . Week 9 to 11: point estimation, interval estimation, hypothesis training. It is not impossible to find a positive or negative relationship in a sample, even when there is no relationship in the population, due to chance alone. As evidenced by mapping out of a positive relationship where x represents the hand used to roll a die and the y represents the face value of the die rolled. Null hypothesis: no relationship between y and x in the population. Statistically test whether this is likely to be true. Must install both to complete labs and homework assignment.
