Introduction : 1.1 Data Types (Modes), 1.2 Interacting with interpreter, 1.3 Arithmetic Operations, 1.4 Methods of Data Input, 1.5 Resident Data Sets, 1.6 Data Accessing and Indexing, 1.7 Subset and Transform, 1.8 Graphics with R, 1.9 Getting Help,
Sampling : 2.1 Population and Sample, 2.2 Simple Random Sampling, 2.3 Stratified Random Sampling, proportional allocation and optimum allocation, 2.4 Systematic Sampling.
Diagrams and Graphs : 3.1 Bar Chart (Subdivided, multiple), 3.2 Pie diagram, 3.3 Histogram (equal class intervals) [Problems illustrating business / commercial applications are expected]
Measures of Central Tendency and Dispersion : 4.1 Mean, Mode, Median, 4.2 Quartiles, Deciles, Percentiles, 4.3 Range, Mean Deviation, Standard Deviation and Co-efficient of Variation [Problems illustrating business / commercial applications are expected]
Correlation : 5.1 Meaning of Correlation and types of Correlation, 5.2 Karl Pearson’s Correlation Co-efficient, and Spearman’s Rank Correlation Co-efficient
Regression Analysis : 6.1 Meaning of Regression, Linear Regression, and Non-linear Regression, 6.2 Linear Regression Lines