Biostatistics : Types of Variable

After completing this presentation, the attendants will able to:

- Define Statistics and Biostatistics.

- Define and identify the different types of data and understand why we need to classifying variables.

1. Dr Tarekk

2. Types of Variables Duration: ≈ 60 Minutes Dr Tarekk Alazabee 2012 Libyan National Center for Diseases Control

3. Main objectives After completing this presentation, the participants will able to: Define Statistics and Biostatistics. Define and identify the different types of data and understand why we need to classifying variables.

4. I. The Scope of statistics

5. Agriculture Economy Industry Dr Tarekk

6. In Public Health - Some of the statistics most often encountered are called means, standard deviation, percentages, and rates . Dr Tarekk

7. II. Defintion of statistics ◘ What is the data? ◘ What is statistics? ◘ What is biostatistics? Dr Tarekk

8. What is the data? The data is the raw material of statistics . The data could be numbers or categories or both .

9. Dr Tarekk Data

10. What is statistics? Dr Tarekk

11. Statistics Latin: Status: “manner of standing” or “Position“. هل نحن ضائعون؟ أين أقف الآن؟ Dr Tarekk

12. IV.Analysis II. Organization III. Summerization I.Collection Data Information Statistics Dr Tarekk

13.            Part of Data Dr Tarekk

14. The purpose : To determine the nature of the information The field of study concerned with: The collection, organization, summarization, and analysis of data. ( Descriptive Statistics). The Drawing of inferences about body of data when only a part of the data is observed. ( Inferential Statistics ). Definition Dr Tarekk

15. What is Biostatistics? Dr Tarekk

16. Biostatistics Is Statistics applied to biological sciences and medicine. Dr Tarekk

17. III. Sources of Data Routinely Kept Records. Surveys. Experiments. External Sources Dr Tarekk

18. V.Types of Variables أنـــواع المتغيــرات Dr Tarekk

19. Variable: Characteristic that can take on different values for different persons, places or things. Exp: Age, Gender, Blood pressure Statistical analysis need variability; otherwise there is nothing to study Definition

20. Types of Variables Dr Tarekk

21. Quantitative Variable ( Numerical V) Measurements made on quantitative variables convey information regarding amount .

22. Discrete V (Countable): Is characterized by gaps or interruptions in the values that it can assume. Exp: No of admissions. No of decayed teeth per child. Quantitative Variable     1 2 3 4 Dr Tarekk

23. Continuous V (Measurable): can assume any value within a specified relevant interval of values. Exp: Age. Blood Sugar. Height. Weight Quantitative Variable Dr Tarekk

24. 100 230   7 Years 25 Years Quantitative Variable Dr Tarekk

25. II. Qualitative (Nominal) Variable : - Some characteristics are not capable of being measured in the sense, and can be categorized only . Dr Tarekk

26. Male Female Qualitative (Nominal) Variable : Dr Tarekk

27. Dr Tarekk

28. Justification Statistical Tests Data Presenting Data Summarizing Types of the Variables Scales of Measurement Dr Tarekk

29. Dr Tarekk NEXT Data Presentation

30. Thanks Dr Tarekk