2. 1.2 An Introduction to Statistics Objectives: By the end of this section, I will be able to… 1) State the meaning of descriptive statistics.

3. DESCRIPTIVE STATISTICS Using numbers and graphics to describe a data set

4. Examples of Descriptive Statistics Only 2 in 5 college students graduate in four years. University of South Carolina loses 9%-10% of students in or just after their second year.

5. Example of Descriptive Statistics

6. Data Collection element: specific entity for which data is collected variable: characteristic of an element observation: set of values of the variables for a given element

7. ELEMENTS VARIABLES OBSERVATION

8. DATA – two types QUALITATIVE: Data that is categorical QUANTITATIVE: Data that is numeric

9. Qualitative Data It refers to observations that are attributes or characteristics. Examples: Hair color, eye color, religion, blood type

10. Quantitative Data It represents observations or measurements that are numerical. Examples: age, weight, height

11. Quantitative Data Data that is a COUNT, is called DISCRETE Numerical Data. Data that is a MEASUREMENT, is called CONTINUOUS Numerical Data.

12. Identify as discrete or continuous. 1) Attendance at the UD football games. 2) Number of girls you have on your contact list. 3) Your weight. 4) Your age. DISCRETE CONTINUOUS

13. Group Practice Worksheet/article