Kannada 
PART C - STATISTICS [40 MARKS]
- Unit 1: Statistical Representation of Data:
Diagrammatic representation of data, Frequency distribution, Graphical representation of Frequency Distribution – Histogram, Frequency Polygon, Ogive,Pie-chart.
Unit:2 Sampling:
Basic principles of sampling theory, comparison between sample survey and complete enumeration, some important terms associated sampling types of sampling, sampling and non-sampling errors. - Measures of Central tendency and Dispersion:
Measures of Central Tendency and Dispersion: Mean Median, Mode, Mean Deviation, Quartiles and Quartile Deviation, Standard Deviation, Co-efficient of Variation, Coefficient of Quartile Deviation. - Probability:
Independent and dependent events; mutually exclusive events. Total and Compound Probability and Bayes’ theorem. - Theoretical Distributions:
Random variables, Discrete and Continuous Random variables, Expectation of a discrete random variable, Theoretical Distributions: Binomial Distribution, Poisson distribution – basic application and Normal Distribution – basic applications. - Correlation and Regression:
Scatter diagram, Karl Pearson’s Coefficient of Correlation Rank Correlation, Regression lines, Regression equations, Regression coefficients. - Index Numbers:
Uses of Index Numbers, Problems involved in construction of Index Numbers, Methods of construction of Index Numbers. BSE SENSEX and NSE.
