AAI Junior Executive Corporate Planning Syllabus 2018

AAI Junior Executive Corporate Planning Syllabus 2018 | Check Full Details Here

Exams Updates

AAI Junior Executive Corporate Planning Syllabus 2018:  In this post I am sharing syllabus for the post of Junior Executive (Corporate Planning) of AAI exam. I have also started 58 days crash course for Airports Authority of India (AAI) Junior Executive Exam from 10th July 2018. Join our classes to get your secure selection in a highly reputed govt. job. Time table is given below. You can download PDF & watch videos by simply clicking on the particular dates. AAI JE Exam Online Classes: As you all know that Airports Authority of India (AAI) has released it’s official notification for the Recruitment of Junior Executive & Manager. AAI Junior Executive Corporate Planning Syllabus 2018: Let’s start with the exam pattern. There are two sections. One is Technical (Physics & Mathematics) & Other is Non-Technical (Reasoning Aptitude, Numerical Ability, English, General Awareness).  AAI JE Exam Online Classes: For technical background students/Engineers, the technical part is your stream subject/discipline (Computer Science/Information Technology/Electronics/Electrical/Mechanical etc.) Note:- There is No Sectional Cut Off, There is No Negative Marking & There is No Interview for the Post of Junior Executive.

AAI Junior Executive Corporate Planning Syllabus 2018

1. Frequency distribution and Measures of Location &
Dispersion, calculation of standard deviation and moments, knowledge of skewness (Beta and Gama coefficients)
2. Probability: Definitions based on the set theory) of probability outcome, sample space and eventAAI Junior Executive Corporate Planning Syllabus 2018s, law of probability, definitions of random variables, definition of probability distribution- discrete and continuous.
1. Distributions: Only definitions, mathematical expression of binomial, Poisson, Normal, Exponential, Beta, Gamma, Negative, Binomial, Geometric, Multinomial, Rectangular and Cauchy Distributions. Examples of practical events, failing about distribution in day to day life. How to find out first, second and third moments of above distribution. Definition of Central Limit Theorem.

2. Correlation and Regression: Definitions of correlation and regression coefficient, their limits, linear regression (definition), equations to the lines of Regression, Linearity and Homoscedasticity of regression in bivariate normal distribution, Numerical based on correlation and regression.
Definitions and limits of Intra class correlation, multiple correlation, partial correlation, R square (coefficient of determination)

3. Sampling Distribution: Definitions of t, Chi-square, F and Z distribution, situations where these are used, simple numerical illustration, Test of significance, based on above distributions.

4. Sampling and Survey:
a) Sampling theory, Sampling error, Non-samplings, Error, Frame, Random or Probability sample, Simple Random Sample (with replacement and without replacement), complete enumerations, versus Sampling, Method of Controlling Non Sampling Error, interpenetrating sub samples, Planning Sample Surveys, Definitions of Adhoc Surveys, Repetitive surveys, Questionnaires, Schedule,
Distinction between sampling error and Standard Error, Mean Square Error and definitions of Multistage samples, Multiphase sampling, their distinction, the principal steps in a sample survey role of sampling theory.
b) Simple Random Sampling (with and without replacement from finite or infinite population., variance of estimation.
c) Sampling Proportions and Percentages
d) Estimation of Sample Size.
e) Knowledge of important terms in stratified, systematic and cluster sampling, variance of estimates; Role of Interclass correlation co-efficient in sampling; Definitions of Ratio and Regression estimates.

5. Time Series Analysis and its components:- Trend analysis,
Seasonal analysis, cyclic analysis, Random or Error Term, Simple problems

6. Demand Analysis:- Law of Demand & Supply, Price elasticity
of supply, Partial & Cross elasticity of demand, Engel’s Law &
Engel’s curve, Pareto’s law of income distribution, Utility Function.

7. Forecasting Techniques: Need for Forecasting,
Techniques/methods involved in forecasting, problems encounters while forecasting and the solutions.
8. Interpretation of Data
9. Statistics relating to Indian economy.

1. Micro Economics:- Demand & Supply Curve, Determination of Price & Quantity, Budget Line & Consumer Choice, Individual & Market Demand, Production & Cost of Production, Profit Maximization, Monopoly & Oligopoly (Price
& Output determination)

2. Macro Economics:- National Income & Product, Measurement of National Product & Problems in measurement of National Product, Aggregate Demand & Supply, Equilibrium income & output-two sector economy, Change in income & output – investment multiplier, Income consumption relationship, Determinants of consumption, Theory of income, output & employment.

3. Managerial Economics:- Demand Forecasting, Forecasting with econometric model, Economic applications of differential calculus- Simple Problems, Economic forecasting for business – Users of Economic Forecasting and Methods of Economic
4. International Economics: Nature & importance of international economics, Salient features of International Trade, Balance of Payment, Devaluation, Foreign Trade Multiplier.


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