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

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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:

Section	Number of Questions	Maximum Marks	Time
Statistics	100	200	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:

Section	Topics
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
	Binomial
	Poisson
	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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