MATH 10041 Lecture Notes - Lecture 1: Royal Institute Of Technology, Observational Study, Data Analysis

• School: Kent State University
• Department: Mathematics
• Course: MATH 10041
• Professor: Rajeev Rajaram

Document Summary

Statistics- present all emotions in life with numbers. Population- the set of all items in a study. Ex. all students in class 10041-002 (97 students) Random- every subject has the same chance to be in a sample. Diverse- boy/girl have the same chance to be in sample. Female students of all students in class 10041-002 (54 students) Random sampling- every subject has the same chance to be chosen. Stratified sample- age/grade/gender, pick proportionally from each group (has criteria) U. s. regions (1, 2, 3, 4, 5), then, select 3 states per region, then select 3 cities per state. Variation and data are the two major concepts of statistics. Variation- everything is different no matter how similar you try to make it. Data analysis- creating summaries of data and explaining what they tell us. Variables- the characteristics that make up a data set (gender, weight, height) Numerical variables (quantitative)- quantities of the objects of interests.