•                                                                                       Lecture 1
• What is Statistics, MEANINGS OF ‘STATISTICS’, CHARACTERISTICS OF THE SCIENCE OF STATISTICS, THE WAY IN WHICH STATISTICS WORK, IMPORTANCE OF STATISTICS IN VARIOUS FIELDS, OBSERVATIONS AND VARIABLES, VARIABLESQUANTITATIVE AND QUALITATIVE VARIABLES, DISCRETE AND CONTINUOUS VARIABLES, MEASUREMENT SCALES, NOMINAL SCALE, ORDINAL OR RANKING SCALE, INTERVAL SCALE, RATIO SCALE, ERRORS OF MEASUREMENT, BIASED AND RANDOM ERRORS

                                                                                   Lecture 2

• COLLECTION OF DATA, PRIMARY AND SECONDARY DATA, COLLECTION OF PRIMARY DATA, DIRECT PERSONAL INVESTIGATION, INDIRECT INVESTIGATION, COLLECTION THROUGH QUESTIONNAIRES, COLLECTION THROUGH ENUMERATORS, COLLECTION THROUGH LOCAL SOURCES, COLLECTION OF SECONDARY DATA, SAMPLING FRAME, ADVANTAGES OF SAMPLING, SAMPLING & NON-SAMPLING ERRORS, NONRANDOM SAMPLING, QUOTA SAMPLING, ADVANTAGES OF QUOTA SAMPLING, RANDOM SAMPLING, TYPES OF RANDOM SAMPLING, SIMPLE RANDOM SAMPLING, OTHER TYPES OF RANDOM SAMPLING

                                                                                     Lecture 3

• Tabulation, Simple bar chart, Component bar chart, Multiple bar chart, Pie chart