Mock Tests

SSC CGL Tier 2 Statistics Mock Test Series

SSC CGL Tier 2 Statistics Mock Test

SSC CGL is abbreviated as Staff Selection Commission Combined Graduate level examination. The SSC CGL sees lakhs of applicants applying for the post every year. Lakhs of students and candidates prepare for SSC CGL by going to classes, coaching institute and even preparing online. There are more than 30 lakh applicants in SSC CGL 2017.

Selection Process


Selection Process for SSC CGL Tier 2 Exam:

SSC CGL Candidates have to qualify in Tier I, Tier II, and subsequently in Tier III and Tier IV with a high score to secure a rank in the final merit list released by the SSC. The appointment of posts for candidates will be done on the basis of the merit and posts selected. Candidates will have to clear each of the 3 or 4 level of exams.

Stage I: Tier I Online Test

Stage II: Tier II Online Test

Stage III: Tier III Descriptive Test

Stage IV: Tier IV Data Entry Skill Test (DEST) and Computer Proficiency Test (CPT)

Exam Pattern


SSC CGL Tier 2 Exam Pattern:

S. No. Subject No. of Qs. Marks Negative Marking per Qs Difficulty Level
Paper 1 Quantitative Aptitude 100 200 0.50 marks 10th + 12th standard level
Paper 2 English Language 200 200 0.25 marks 10+2 level
Paper 3 Statistics 100 200 0.50 marks Graduation level
Paper 4 Finance & Accounting 40 80 0.50 marks Graduation level
Economics & Governance 60 (Total = 100 Qs.) 120 (Total = 200 Marks)

Preparing for Statistics in SSC CGL Tier 2:

Statistics is an important topic in the Tier II paper. Statistics is difficult to crack and not very easy. One can become well versed in statistics after months of preparation. Statistics is very much in demand in nowadays in the job market as statisticians are few and scarce and have tremendous opportunity to do well. The SSC CGL Tier 2 Statistics mock tests are made to gear you towards better preparation and challenge you to the next level of Statistics. While Mathematics and Statistics are both related, one must understand that Statistics involves lot of graphs, analysis and study. Statistics is incomplete some of the basic elements like bar graphs, pie diagrams and more. Sometimes, it involves an in-depth study or similar patterns in Data and at other times this can include big data.

SSC CGL Tier 2 Statistics Mock Test:

SSC CGL Tier 2 Statistics Mock Tests are important for those preparing for the exam. Mock Tests help candidates to know where they stand and this can be helpful for candidates who want to become statistical investigator or any of the posts under SSC CGL 2017. SSC CGL Tier 2 Statistics Mock tests are sectional mock tests that help you know weaknesses and strength in statistics. One can solve new questions in statistics created by experts and do well in statistics with the help of SSC CGL Tier 2 Statistics Mock tests.



The Statistics syllabus consists of the following sections:

  • 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, 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 correlation (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; Joint distribution of two random variable (discrete).
  • 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(statement only); 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