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Page 1 CLASSIFICATION CLASSIFICATION AND AND TABULATION OF DATA TABULATION OF DATA Lecture Series on Lecture Series on Biostatistics Biostatistics Page 2 CLASSIFICATION CLASSIFICATION AND AND TABULATION OF DATA TABULATION OF DATA Lecture Series on Lecture Series on Biostatistics Biostatistics LEARNING OBJECTIVES LEARNING OBJECTIVES ? The trainees will be able to do The trainees will be able to do meaningful classification of large meaningful classification of large mass of data and interpret the same. mass of data and interpret the same. ? They will be able to construct They will be able to construct frequency distribution table and frequency distribution table and interpret the same. interpret the same. ? They will be able to describe different They will be able to describe different parts of tables and types of table parts of tables and types of table Page 3 CLASSIFICATION CLASSIFICATION AND AND TABULATION OF DATA TABULATION OF DATA Lecture Series on Lecture Series on Biostatistics Biostatistics LEARNING OBJECTIVES LEARNING OBJECTIVES ? The trainees will be able to do The trainees will be able to do meaningful classification of large meaningful classification of large mass of data and interpret the same. mass of data and interpret the same. ? They will be able to construct They will be able to construct frequency distribution table and frequency distribution table and interpret the same. interpret the same. ? They will be able to describe different They will be able to describe different parts of tables and types of table parts of tables and types of table ? Concept of Variable Concept of Variable ? Ordered array Ordered array ? What is data Classification ? What is data Classification ? ? Objectives of Classification Objectives of Classification ? Frequency distributions Frequency distributions ? Variables and attributes Variables and attributes ? Tabulation of data Tabulation of data ? Parts of a table Parts of a table ? Type of tables Type of tables C O N T E N T C O N T E N T Page 4 CLASSIFICATION CLASSIFICATION AND AND TABULATION OF DATA TABULATION OF DATA Lecture Series on Lecture Series on Biostatistics Biostatistics LEARNING OBJECTIVES LEARNING OBJECTIVES ? The trainees will be able to do The trainees will be able to do meaningful classification of large meaningful classification of large mass of data and interpret the same. mass of data and interpret the same. ? They will be able to construct They will be able to construct frequency distribution table and frequency distribution table and interpret the same. interpret the same. ? They will be able to describe different They will be able to describe different parts of tables and types of table parts of tables and types of table ? Concept of Variable Concept of Variable ? Ordered array Ordered array ? What is data Classification ? What is data Classification ? ? Objectives of Classification Objectives of Classification ? Frequency distributions Frequency distributions ? Variables and attributes Variables and attributes ? Tabulation of data Tabulation of data ? Parts of a table Parts of a table ? Type of tables Type of tables C O N T E N T C O N T E N T Concept of Variable Concept of Variable ? Variable Variable A characteristic which takes on different A characteristic which takes on different values in different persons, place or values in different persons, place or things. things. Example Example : Diastolic/Systolic blood : Diastolic/Systolic blood pressure, heart rate, the heights of adult pressure, heart rate, the heights of adult males, the weights of preschool children males, the weights of preschool children and the ages of patients seen in a dental and the ages of patients seen in a dental clinic clinic Page 5 CLASSIFICATION CLASSIFICATION AND AND TABULATION OF DATA TABULATION OF DATA Lecture Series on Lecture Series on Biostatistics Biostatistics LEARNING OBJECTIVES LEARNING OBJECTIVES ? The trainees will be able to do The trainees will be able to do meaningful classification of large meaningful classification of large mass of data and interpret the same. mass of data and interpret the same. ? They will be able to construct They will be able to construct frequency distribution table and frequency distribution table and interpret the same. interpret the same. ? They will be able to describe different They will be able to describe different parts of tables and types of table parts of tables and types of table ? Concept of Variable Concept of Variable ? Ordered array Ordered array ? What is data Classification ? What is data Classification ? ? Objectives of Classification Objectives of Classification ? Frequency distributions Frequency distributions ? Variables and attributes Variables and attributes ? Tabulation of data Tabulation of data ? Parts of a table Parts of a table ? Type of tables Type of tables C O N T E N T C O N T E N T Concept of Variable Concept of Variable ? Variable Variable A characteristic which takes on different A characteristic which takes on different values in different persons, place or values in different persons, place or things. things. Example Example : Diastolic/Systolic blood : Diastolic/Systolic blood pressure, heart rate, the heights of adult pressure, heart rate, the heights of adult males, the weights of preschool children males, the weights of preschool children and the ages of patients seen in a dental and the ages of patients seen in a dental clinic clinic ? Quantitative Variable:- Quantitative Variable:- One that can be One that can be measured and expressed numerically. The measured and expressed numerically. The measurements convey information regarding measurements convey information regarding amount. amount. Example Example : : Diastolic/Systolic blood pressure, heart Diastolic/Systolic blood pressure, heart rate, the heights of adult males, the weights of rate, the heights of adult males, the weights of preschool children and the ages of patients seen preschool children and the ages of patients seen in a dental clinic in a dental clinic ? Qualitative Variable:- Qualitative Variable:- The characteristics that The characteristics that can’t be measured quantitatively but can be can’t be measured quantitatively but can be categorized. The measurement convey categorized. The measurement convey information regarding the attribute. The information regarding the attribute. The measurement in real sense can’t be achieved but measurement in real sense can’t be achieved but persons, places or things belonging to different persons, places or things belonging to different categories can be counted. categories can be counted. Example: Example: sex of a patient, colure and odour of sex of a patient, colure and odour of stool and urine samples etc. stool and urine samples etc.Read More
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Sep 28, 2025
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