SSC CGL Tier 2 Paper 2 Study Plan for 30 days, Check the Details!

SSC CGL Tier 2 Paper 2 Study Plan

SSC CGL Tier-1 exam was conducted from 14th July to 17th July 2023. A tentative answer key has been released by the SSC. The Tier 1 Result has been released on the official website of SSC on 19th September 2023. Candidates who have qualified for the Tier 2 must have started their preparation for the Tier 2 examination.

In this blog, we have mentioned the SSC CGL Tier-2 Paper-2 (Statistics) study plan for 30 days. To understand the study plan, it is necessary for candidates to have an idea of the exam pattern and syllabus.

SSC CGL Tier-2 Exam Pattern

Paper	Session	Section	Subject	Questions	Marks
I (Common for all posts)	I (2 hours and 15 minutes)	I (1 hour )	Module I – Mathematical abilities Module II –Reasoning and General Intelligence	30 30 Total = 60	60 x 3= 180
		II (1 hour )	Module I – English Language Comprehension Module II – General Awareness	45 25 Total = 70	70 x 3 = 210
		III (15 minutes)	Module – I – Computer Knowledge module	20	20 x 3 = 60
	II (15 minutes)	III	Module – II : Data Entry Speed Test	One data entry task of 2000 key	
II (Only for JSO)	2 hours		Statistics (Paper I as above)	100	100 x 2 = 200
III – AAO (Assistant Audit Officer) & Assistant Accounts officer	2 hours		General Studies (Finance & Economics) (Paper I as above)	100	100 x 2 = 200
			Total	500	850

SSC CGL Tier-2 Paper-2 (Statistics) Syllabus

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; the 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; Joint distribution of two random variables (discrete). 

Sampling Theory – Concept of population and sample; Parameter and statistic, Sampling and non-sampling errors; Probability and nonprobability 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 numbers, Different formulae, Base shifting and splicing of index numbers, Cost of living Index Numbers, Uses of Index Numbers. 

SSC CGL Tier-2 Paper-1 Study Plan for 30 days- Check in detail!

SSC CGL Tier 2 Paper 2 Study Plan

Day	Topics of Statistics
Day-1	Collection, Classification and Presentation of Statistical Data
Day-2	Probability Theory – Meaning of probability; Different definitions of probability; Conditional probability
Day-3	Compound probability; Independent events; Bayes’ theorem
Day-4	Sampling Theory
Day-5	Statistical Inference
Day-6	Attempt a Mock Test
Day-7	Analysis of Variance
Day-8	Time Series Analysis
Day-9	Random Variable and Probability Distributions
Day-10	Correlation and Regression
Day-11	Measures of Central Tendency
Day-12	Attempt a Mock Test
Day-13	Moments, Skewness and Kurtosis
Day-14	Measures of Dispersion
Day-15	Index Numbers
Day-16	Tests based on Z, t, Chi-square, and F statistics,  Confidence intervals
Day-17	Base shifting and splicing of index numbers
Day-18	Attempt a Mock Test
Day-19	Tabulation of data; Graphs and charts; Frequency distributions; Diagrammatic presentation of frequency distributions
Day-20	Sample size decisions
Day-21	Point estimation and interval estimation, Properties of a  good estimator
Day-22	Spearman’s rank correlation; Measures of association of attributes
Day-23	Multiple and partial correlation
Day-24	Revise your weak topics
Day-25	Attempt Previous year’s question papers of last 2 years
Day-26	Attempt a Mock Test
Day-27	Attempt a Mock Test
Day-28	Take a rest and analyze your performance in the mock test
Day-29	Revise the topics you are not able to solve in mock tests
Day-30	Solve Previous year’s question paper

Best Books for Statistics Paper

Book Name	Publisher/ Authors
Statistics Practice Workbook	Kiran Publishers
Statistics Paper	R. Gupta

We hope this blog gave you a proper and effective SSC CGL Tier-2 Paper-2 study plan for 30 days. To read more such blogs, visit the Oliveboard website!

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