4. Types of Data Qualitative Quantitative Categorical Mathematical Gender, hair color, major, classification, marital status, Likert-style data, zip code , ssn , phone number Age, height, weight, salary, miles per gallon, life of a light bulb

5. Types of Data Cross-Sectional Time-Series Data observed at one point in time Data observed over time Number of business [act, fin, is, …] majors enrolling this term Stock price of Taco Bell, KFC, & Subway at end of day Quarter enrollment, weekly sales, daily sales price of a gallon of gas

6. Levels of Measurement Nominal Ordinal Interval Ratio Lowest Highest

11. Data Collection Methods Secondary Primary Data obtained from another source Data collected first-hand Data collection organizations Government agencies Industry associations Internet Experiments Telephone surveys Direct observation Personal Interviews

12. Data Collection Issues - Errors Non-sampling Sampling Interviewer/Instrument Bias Non-response Bias Selection Bias Interviewee Lie Measurement Error Observer Bias Bad Luck

14. Statistics Terminology Sample A portion, or part, of the population of interest Population The collection of all possible individuals, objects, or measurements of interest

16. Sampling Techniques Convenience Samples Non-Probability Samples Judgement Probability Samples Simple Random Systematic Stratified Cluster

23. Descriptive Statistics – Graphical

24. Descriptive Statistics – Tabular

25. Descriptive Statistics – Numerical On the Feb. 9, 1964, Ed Sullivan Show

27. Florida Lotto Ticket - Front

28. Florida Lotto Ticket - Back

30. Inferential Statistics - Estimation

31. Inferential Statistics – Hypothesis Testing