PSY201H1 Lecture Notes - Lecture 2: Cumulative Frequency Analysis, Frequency Distribution, Frequency (Statistics)

• School: UTSG
• Department: Psychology
• Course: PSY201H1
• Professor: Kristie Dukewich

Document Summary

When you are creating an object to measure, you want to be sure that if two people are. Statistics, sept 20 measuring it, they will get to the same answer. Main concepts from pagano chapters 3 and 4. Frequency distribution allow us to see patterns in the data. Determine i (interval width) i = range/number of intervals. Range = 51; intervals = 10 i = 51/10 i= 5. 1. You have to round it to 5, so 10 intervals each with 5 units. Indicating the proportion of the total number of scores that occurs in each interval. The number of scores that fall below the upper real limit of each interval. Starting at the bottom interval add the frequency of the interval to the frequencies of all the intervals below it. Example: if the first interval frequency is one, then add 1 to whatever the frequency of the second interval is.