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Topics covered • Concept, nature and scope of research in social sciences. Types of research fundamental, applied and action research, experimental and non- experimental research. • Variables, types and their measurement. Selection and formulation of research problem. • Hypothesis– importance, selection criteria (quality of workable hypothesis), formulation and testing of hypothesis. Idea behind this lecture To increase understanding of key concepts related to data. .. To enhance idea of data analysis quantitatively. To make statistical thinking popular. To increase understanding of theoretical concept of statistics without fear of complex formula. To enhance idea of data analysis by software. Consequently, to develop interest in reading of research articles. Data Data: Facts, especially numerical facts, collected together for reference or information. Data: Set of observations collected on variable is called data. A dictionary defines data as facts or figures from which conclusions may be drawn. It is a collective noun or plural noun.Datum is the singular form of the noun data. Type of Data 1. Qualitative : Nonnumeric 2. Quantitative : Numeric Qualitative Classification of Data One way classification Class Number Rural 65 Urban 35 Total 100 Two way classification Faculty Boys Girls Total Arts 350 200 550 Science 175 125 300 Commerce 100 50 150 Total 625 375 1000 Cont. Three way classification Caste Hi ndu Mu Slim Si Kh Chr istan Total Sex Boys Girls Boys Girls Boys Girls Boys Girls Class- Level U. G. 2000 1700 900 400 600 240 200 160 6200 P. G. 800 200 70 80 80 50 85 35 1400 Ph. D. 200 100 30 20 20 10 15 05 400 Total 3000 2000 1000 500 700 300 300 200 8000 Multi way classification
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