3. Linear Correlation  Meaning & Definition of linear correlation.
 Coefficient of correlation  definition and methods  scatter diagram method  examples and explanation with illustrations.
 Perfect positive correlation
 Perfect negative correlation
 Partial Positive correlation
 Partial Negative correlation
 Karl Pearson's Product Moment method  examples and illustration.
 Alternative formulae of Karl Pearson
 Spearans Rank correlation method  explanation  merits, demerits & Sums.
 Interpretation of coefficient of correlation and its precautions.
4. Linear Regression  Introduction
 Linear Regression Model
 Fitting a regression line
(1) Scatter Diagram Method (2) Least Square Method  Regression coefficient
 Different formulae for calculation of regression coefficients.
 Coefficient of determination
 Precautions for using regression coefficient.
 Two regression lines.
 Illustrations
5. Interpolation and Extrapolation  Meaning and definition
 Uses and importance
 Assumptions
 Method of interpolation and extrapolation
1. Newton's Method 2. Lagranges Method 3. Binomial Expansion method. (Pascal's triangle explanation  sum of all 3 methods.) Note : Proof of any formula is not in syllabus. 6.Series  Meaning
 Types  base on time  Time series, Other series  Arithmetic progression Geometric Progression.
 Time Series  Meaning  definition  Illustration  sums
 Trend and methods of measuring trends  Graphical method, Least square method.
 Other series  Arithmetic Progression is explained in std. XI
 Geometric progression  Explanation meaning  definition illustrations – sum of the series & sum.
7. Probability  Introduction
 Random experiment and sample space
 Event  Certain event, impossible event other events.
 Definition of probability
 Classical definition and assumption.  Statistical definition  Rules of probability
 Sums related to events.
Note : No proof of rules of probability is included in syllabus. 8. Probability Distribution :  Random variable  Discrete random variable
 Continuous random variable
 Probability Distribution
 Binomial Probability Distribution.
 Characteristics. of binomial probability distribution.
 Binomial probability function and sums based on it
 Normal distribution.
 Function of Normal distribution.
 Standard Normal variable.
 Standard Normal distribution.
 Area of Normal Curve
 Characteristics of Normal Distribution.
 Characteristics of Standard normal distribution.
 Exercise based on normal and standard normal distributions.
Suggestions :  No proof is included in any formulae.
 Consistency of statistical formulae to be maintained from std. 8 to std. 12.
 Logical sequence of chapter should be observed.
