# 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:

 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.

Are you appearing for SSC CGL Tier-II 2019-20 Exam? If yes then we have a dedicated course for you in which we will prepare you not only for the upcoming SSC CGL Tier II 2019 exam but also for the SSC CGL Tier III 2019-20 exam. So, don’t lose the opportunity to grab your govt job with the help of Gradeup. To start a free trial follow the link given below.

SSC CGL Tier-II : A Comprehensive Course Hindi (Batch 3)

SSC CGL Tier II : A Comprehensive Course (English Medium) (Batch - 2)

### SSC & Railways GREEN CARD: Unlimited Access to all the Mocks | Register Now GradeStack Learning Pvt. Ltd.Windsor IT Park, Tower - A, 2nd Floor, Sector 125, Noida, Uttar Pradesh 201303 help@byjusexamprep.com