What is the CBI Officer Physical Requirements

Will you please provide CBI Officer Physical Requirements & also give syllabus for exam???

[Quick Sam]

You have to participate in CGPE Combined Graduate Preliminary Exam which is conducted by SSC (Staff Selection Board) to become CBI officer.

Physical Requirements

Height
For men -165cms
For women -150cms
Height relax able for Hillsmen and Tribals: 5cms

Chest:
76cms. with expansion (There shall be no such requirement in case of female candidates)

Vision:
Eye-Sight (with or without glasses)
Distant Vision:
6/6 in one and 6/9 in other eye
Near Vision:
0.6 in one eye and 0.8 in other eye

Syllabus:

Syllabus of SSC CGL (Tier I and Tier II)

General Intelligence & Reasoning: Similarities and Differences, Analogies, Space Visualization, Decision making, Problem Solving, Spatial orientation, Analysis, Visual Memory, Judgment, Relationship concepts, Discrimination, Observation, Arithmetical Reasoning and Figural Classification, Non-Verbal series, Arithmetic Number Series, Coding and Decoding, Statement Conclusion, Syllogistic Reasoning etc. Semantic Analogy, Symbolic/Number Analogy, Semantic Classification, Figural Analogy, Symbolic/Number Classification, Figural Classification, Semantic Series, Number Series, Figural Series, Problem Solving, Coding & de-coding, Word Building, Venn Diagrams, Numerical Operations, Space Orientation, Trends, Space Visualization, Drawing inferences, Punched hole/Pattern –folding & un-folding, Figural Pattern – folding and completion, Symbolic Operations, Indexing, Address matching, Classification of Centre codes/roll numbers, Date & City matching, Small & Capital letters/numbers coding, decoding and classification, Embedded Figures, Emotional Intelligence, Critical thinking, Social Intelligence Etc.

B. General Awareness: Current Events, India and its neighboring countries especially pertaining History, Geography, Culture, Economic Scene, Scientific Research, General Policy Etc.

C. Quantitative Aptitude: Whole Numbers, Decimals, Fractions and Relationships between numbers, Percentage, Ratio & Proportion, Square roots, Averages, Interest, Profit and Loss, Discount, Partnership Business, Mixture and Alligation, Time and distance, Time & Work, Basic algebraic identities of School Algebra & Elementary surds, Graphs of Linear Equations, Triangle and its various kinds of centres, Congruence and similarity of triangles, Circle and its chords, tangents, angles subtended by chords of a circle, common tangents to two or more circles, Triangle, Quadrilaterals, Regular Polygons , Circle, Right Prism, Right Circular Cone, Right Circular Cylinder, Sphere, Hemispheres, Rectangular Parallelepiped, Regular Right Pyramid with triangular or square base, Trigonometric ratio, Degree and Radian Measures, Standard Identities, Complementary angles, Heights and Distances, Histogram, Frequency polygon, Bar diagram & Pie chart Etc.

D. English Comprehension: Fill in the Blanks, Spot the Error, Synonyms, Antonyms, Spelling/Detecting mis-spelt words, One word substitution, Idioms & Phrases, Improvement of sentences, Active/Passive voice of verbs, Comprehension Passage , Conversion into Direct/Indirect Narration, Shuffling of sentence parts, Shuffling of Sentences in a passage, Cloze passage &.

Statistics: For Investigator Grade-II, Ministry of Statistics & Programme Implementation & Compiler in RGI.

Methods of data collection; Tabulation of data; Graphs and charts; Collection Classification and Presentation of Statistical Data – Primary and Secondary data, Frequency distributions; Diagrammatic presentation of frequency distributions; Partition values- quartiles, deciles, percentiles. Measures of Dispersion- Common measures dispersion – range, quartile deviations, mean deviation and standard deviation; Measures of Central Tendency- Common measures of central tendency – mean median and mode, Measures of relative dispersion. Skewness and Kurtosis – Different types of moments and their relationship; Moments, meaning of skewness and kurtosis; different measures of skewness and kurtosis, simple regression lines; Correlation and Regression – Scatter diagram; simple correlation coefficient; Spearman’s rank correlation; Multiple and partial correlation (For three variables only), Measures of Association of Attributes; Multiple Regression; Probability Theory – Meaning of probability; Conditional probability; Different definitions of 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; Parameter and statistic, Sampling Theory – Concept of population and sample; Joint distribution of two random variable (discrete), Sampling and non-sampling errors; Probability and non-probability sampling techniques (simple random sampling, multistage sampling, stratified sampling, convenience sampling, multiphase sampling, cluster sampling, purposive sampling, systematic sampling, and quota sampling); Sampling distribution (statement only); Sample size decisions, Statistical Inference - Point estimation and Interval Estimation, Properties of a good estimator, Time Series Analysis - Components of time series, Measurement of seasonal variation by different methods, Determinations of trend component by different methods, Problems in the construction of index numbers, Index Numbers - Meaning of Index Numbers, Types of index number, Different formulae, Base shifting and splicing of index numbers, Uses of Index Numbers, Cost of living Index Numbers. 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.