Quantitative data measures variables along a scale and indicates how much of a variable is present, with examples being money spent on sports equipment and SAT scores, while categorical data simply counts the number of objects or individuals in categories such as ethnic group representation in a school or number of male and female students. Descriptive statistics can illustrate this data through averages of central tendency, mode, median, range, and graphs and charts, and experimental research deliberately influences variables to test cause-and-effect relationships.

1. Descriptive Statistics

2. Quantitative DataQuantitative data is obtained when a variable being studies is measured along the scale that indicates now much of a variable is present.Example: the amount of money spent on sports equipment in a particular semesterSAT scores

3. Categorical data This is simply the total number of objects, individual, events the researcher finds in a category Example: the represntation of an ethnic grtoup in a schoolNumber of male and female students in a classNumber of holidays in a year vs. Non declared public holidays

4. How to illustrate Averages or central tendency Mode Median Range Statistics maybe illustrated by graphs and charts

5. Experimental Research This is a type of research that deliberately attempts to influence a particular variable and when properly applied is the best type of testing the cause and effect relationships