Important Statistics topics for SSC CGL Tier 2 | Check here

SSC CGL Tier-2 2022 Statistics Exam is conducted for the post of Junior Statistical Officer (JSO). The exam is conducted online and consists of 100 questions (200 marks). The Exam duration for SSC CGL Tier-2 2022 Statistics Paper-3 is 2 Hours. Check some Important Statistics topics for SSC CGL Tier 2 Exam in this blog.

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SSC CGL Exam – Overview 

ParticularsDetails
NameStaff Selection Commission Combined Graduate Level (SSC CGL)
Conducted byStaff Selection Commission (SSC)
Exam LevelNational
FrequencyYearly
Exam ModeBoth online and offline
Exam DurationTier-1: 60 minutes, Tier-2: 120 minutes for each paper, Tier-3: 60 minutes
Purpose of Exam To select candidates for Group-B and -C posts in various departments of the Government of India
LanguageEnglish and Hindi
Exam Helpdesk No.011-69999845
Official Websitehttp://ssc.nic.in/

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SSC CGL Tier 2 Exam Pattern

Before moving on to the preparation strategy it is very important for the candidates to learn about the exam pattern. SSC CGL Tier-2 exam pattern consists of four papers:

Paper 1 – Quantitative ability

Paper 2- English Language and Comprehension

Paper 3 – Statistics

Paper 4 – General Studies (Finance and Economics) 

Of the 4 papers, Paper 1 and 2 are mandatory for all the SSC CGL aspirants, while Paper 3 and 4 are optional. Paper 3 is opted by the candidates who have applied for the post of JSO ( Junior Statistical Officer) and Paper 4 is for candidates who have applied for the post of AAO (Assistant Account Officer and Assistant Audit Officer)

SectionsNo. of QuestionsTotal MarksDuration
Quantitative Ability1002002 hours
English Language and Comprehension2002002 hours
Statistics1002002 hours
General Studies (Finance and Economics)1002002 hours

Note: Negative marking of 0.5 per incorrect response and 2 marks for correct response.

Important Statistics topics for SSC CGL Tier 2 Exam

S. No.Important Statistics TopicsSyllabus
1Collection Classification and Presentation of Statistical DataA. Primary and Secondary data, Methods of data collection
B. Tabulation of data
C. Graphs and charts
D. Frequency distributions
E. Diagrammatic presentation of frequency distributions
2Measures of Central TendencyA. Common measures of central tendency – Mean, Mode and Median
B. Partition values- quartiles, deciles, percentiles
3Measures of DispersionA. Common measures of dispersion – range, quartile deviations, mean deviation and standard deviation
B. Measures of relative dispersion
4Moments, Skewness and KurtosisA. Different types of moments and their relationship
B. The meaning of skewness and kurtosis
C. Different measures of skewness and kurtosis
5Correlation and RegressionA. Scatter diagram
B. Simple correlation coefficient
C. Simple regression lines
D. Spearman‘s rank correlation
E. Measures of association of attributes
F. Multiple regression
G. Multiple and partial correlations (For three variables only)
6Probability TheoryA. Meaning of probability
B. Different definitions of probability
C. Conditional probability
D. Compound probability
E. Independent events
F. Bayes‘ theorem
7Random Variable and Probability DistributionsA. Random variable
B. Probability functions
C. Expectation and Variance of a random variable
D. Higher moments of a random variable
E. Binomial, Poisson, Normal and Exponential distributions
Joint distribution of two random variables (discrete)
8Sampling TheoryA. Concept of population and sample
B. 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)
C. Sampling distribution (statement only)
D. Sample size decisions
9Statistical InferenceA. Point estimation and interval estimation, Properties of a good estimator
B. Methods of estimation (Moments method, Maximum likelihood method, Least squares method
C. Testing of hypothesis, Basic concept of testing, Small sample and large sample tests, Tests based on Z, t, Chi-square and F statistic
D. Confidence intervals
10Analysis of VarianceAnalysis of one-way classified data and two-way classified data
11Time Series AnalysisA. Components of time series
B. Determinations of trend component by different methods
C. Measurement of seasonal variation by different methods
12Index NumbersA. Meaning of Index Numbers,
B. Problems in the construction of index numbers, Types of index number
C. Different formulae, Base shifting and splicing of index numbers
D. Cost of living Index Numbers, Uses of Index Numbers

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