SSC CGL Jr. Statistical Investigator Syllabus & Pattern (Tier 2)

By Neha Uppal|Updated : August 28th, 2017

In this article, we have discussed Syllabus and Pattern for SSC CGL Statistics Paper 3. This paper is conducted for Junior Statistical Officer (JSO) in SSC CGL Tier 2 Exam. You can read SSC CGL Tier 2 Statistics (Paper 3) syllabus and exam pattern in detail. For the post of JSO, you have to take Quantitative Aptitude (Paper I), English Comprehension (Paper II) and Statistics (Paper III).

SSC Jr. Statistical Investigator Exam Pattern

The third paper of SSC CGL Tier 2 is of Jr. Statistical Investigator. This paper is conducted in online mode. The exact pattern of paper is:


Number of Questions

Maximum Marks





2 Hours

 SSC CGL Statistical Investigator Syllabus Tier 2

The syllabus of this paper covers important topics of Statistics. The level of topics is of graduation level. The aspirants are advised to first clear the basic concepts and then move to the advanced level of a particular topic. There will be negative marking of 0.5 marks for every wrong response. The knowledge of topics is a must for the preparation of Jr. Statistical Investigator paper. The detailed syllabus for these two sections is given below in the table format:



Collection Classification and Presentation of Statistical Data 

Primary and Secondary data.

Methods of data collection.

Tabulation of data.

Graphs and charts.

Frequency distributions.

Diagrammatic presentation of frequency distributions.

Measures of Central Tendency

Common measures of central tendency - mean median and mode.

Partition values - quartiles, deciles and percentiles.

Measures of Dispersion

Common measures dispersion – range, quartile deviations, mean deviation and standard deviation

Measures of relative dispersion.

Moments, Skewness and Kurtosis

 Different types of moments and their relationship

Meaning of skewness and kurtosis

Different measures of skewness and kurtosis

Correlation and Regression

Scatter diagram

Simple correlation coefficient

Simple regression lines

Spearman’s rank correlation

Measures of association of attributes

Multiple regression

Multiple and partial correlations (For three variables only)

Probability Theory

Meaning of probability

Different definitions of probability

Conditional probability

Compound probability

Independent events

Bayes’ theorem

Random Variable and Probability Distributions

Random variable

Probability functions

Expectation and Variance of a random variable

Higher moments of a random variable



Normal and Exponential distributions

point distribution of two random variable 

Sampling Theory

Concept of population and sample

Parameter and statistic

Sampling and non-sampling errors

Probability and non-probability sampling techniques

Simple random sampling, stratified sampling, multistage sampling, multiphase sampling, cluster sampling, systematic sampling, purposive sampling, convenience sampling and quota sampling

Sampling distribution

Sample size decisions

Statistical Inference 

Point estimation and interval estimation

Properties of a good estimator

Methods of estimation

Moments method, Maximum likelihood method, Least squares method

Testing of hypothesis, Basic concept of testing, Small sample and large sample tests, Tests based on Z, t, Chi-square and F statistic, Confidence intervals.

Analysis of Variance

Analysis of one-way classified data and two-way classified data.

Time Series Analysis

Components of time series

Determinations of trend component by different methods

Measurement of seasonal variation by different methods.

Index Numbers

Meaning of Index Numbers

Problems in the construction of index numbers

Types of index number

Different formulae

Base shifting and splicing of index numbers

Cost of living Index Numbers

Uses of Index Numbers

The above-listed topics are the complete set which you are required to cover. While preparing for this paper keep some points in mind:-

  • Cover syllabus from a good book. While deciding book, the language of the book and the quality of content is an important factor to be kept in mind.
  • Don't go in-depth of any topic. Cover the basic definition and characteristics.
  • Don't skip numerical questions in Statistics. There are certain topics in Statics which are of high weight-age in terms of concepts and numerical questions i.e. Conditional probability, Bayes’ theorem, Different types of moments and their relationship, Determinations of trend component by different methods etc.
  • Stick to the above -given syllabus while preparing for this paper.
  • After covering above-listed topics start taking mock tests. And also do the proper analysis of the mock tests for proper understanding of the grey areas to cover.
  • Try to manage time for this paper also along with the preparation of other papers of Tier-2.
  • Don’t waste much time on a single topic. As time resource is scarce, you have to use it very intelligently.
  • Do a proper analysis of quizzes and mock tests you take.

The aspirants are advised to go through this article very attentively as each and every minute details have been covered which are essential for the paper of Jr. Statistical Investigator paper.


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