SWP 538 Lecture Notes - Lecture 9: Block Graph, Histogram, Standard Deviation

• School: Ryerson University
• Department: Social Work
• Course: SWP 538
• Professor: Notisha Massaquoi

Document Summary

Quantitative data analysis is defined as the process of utilizing a variety of statistical procedures to analyze numerical data. Data analysis involves counting responses and using other statistical procedures to discover the identifying characteristics of individual variables in a sample and the relationships between two or more variables in the sample. The type of analysis you use depends on the level of your variables and the research method you choose. Data analysis is usually conducted in steps, first the descriptive analysis of the individual variables is conducted, and then inferential statistics are used to analyze the associations between variables. Descriptive statistics: ways of organizing, describing, and presenting quantitative (numerical) data in a manner that is concise, manageable, and understandable. Inferential statistics: statistical procedures that examine associations between variables and use significance tests and other measures to make inferences about the collected quantitative data.