This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: Total Width (TW) = Highest value of (x) data - Lowest value of (x) data Class Width (CW) = Interval Range (r) = → Rule: If data is small than use 5 as “Number of Classes” and if data is large than use 10 as “Number of Classes”. Measures of Central Tendency: a single value to represent the data set 1 (a) Arithmetic Mean (Average) → the most important measure of central tendency. Sample mean = = → where (x) is data and (n) is sample size Population mean = = → where (x) is data and (N) is population size For example: If per hour wages are $23, 31, 19, 13, 27, 29, and 33. What is the mean (average) wages? = = = = $25 per hour (b) Weighted Mean is = → where (x) is data and (w) is weights. Weights (w) are multiplies for each (x) data and added together, then divided by the total sum of (x) data. Weights (w) are in average or percentage or annual form. For example: City Number of Workers Average Wage Per Worker ($) Toronto 100 19 Montreal 80 21 Calgary 60 25 Vancouver 40 17 = = = = $20.57 per worker = $20....
View Full Document
- Spring '10
- Trigraph, Vancouver