GEOL 102 Lecture Notes - Lecture 10: Skewness, Quartile, Sampling Distribution

• School: Queen's University
• Department: Geological Sciences and Geological Engineering
• Course: GEOL 102
• Professor: Callum

Document Summary

Categorical data: eye colour, gender; can code categories to produce nominal data. Numerical data: quantitative data; includes ordinal (use inequalities), ratio (fixed order, equal spacing, absolute zero point, multiply/divide/inequalities and differences) and interval (fixed order, equal spacing, differences and inequalities), all are mutually exclusive. Correcting data: find xn you want to change, enter the correct number, hit enter, then press ac. Deleting data: find the value you want to delete, shift, m+ Median of a sample: order data from smallest to largest (number data, find median position using formula (cid:1866)(cid:1856)(cid:1857)(cid:3040)(cid:3032)(cid:3031)(cid:3036)(cid:3028)(cid:3041)=(cid:3041)+(cid:2869)(cid:2870, odd n-value: value of median is the middle number. Even n-value: find difference in n-values and multiply by 0. 5 (b/c median) and add this to the lower n value. Median is a fractile (divides data in two), quartile divided data into quarters, percentiles into 100 parts. How to solve: follow steps for median using this formula: (cid:1866)(cid:1856)(cid:1857)(cid:3043)(cid:3047) (cid:3043)(cid:3032)(cid:3045)(cid:3030)(cid:3032)(cid:3041)(cid:3047)(cid:3036)(cid:3039)(cid:3032)= (cid:3043)(cid:2869)(cid:2868)(cid:2868)(cid:4666)(cid:1866)+(cid:883)(cid:4667) Useful stat found by subtracting q1 from q3 (cid:1835)(cid:1843)(cid:1844)=(cid:1843)(cid:2871) (cid:1843)(cid:2869)