Who Should Select Statistics As An Optional – For UPSC Mains Examination.

Statistics is closely related to mathematics. It is in fact, a branch of mathematics dealing with data collection, organization, analysis, interpretation and presentation. The chief difference between the two is that while mathematics has a lot of theoretical aspects (apart from the practical application), statistics is almost entirely an applied science.Continue Reading Who Should Select Statistics As An Optional – For UPSC Mains Examination.

Candidates who have more interest in Mathematics and Statistics will choose Statistics as there optional subject. If students have prior expertise on the subject, you can very well choose, this subject will help you to attend other exams also such as Indian Engineering service exam, combined higher secondary level exam by SSC, etc., He/She may score well in Paper I which is like general studies but Paper-II becomes the eliminating factor if it is not covered exhaustively.

How much time does it take to prepare?

4-5 months, if you study Animal husbandry & veterinary science 12-15 hours per week. This should be enough. Also, it depends on how much can you recall your graduation concepts.

Ideally, aspirants need 4-5 months to complete the optional subject solely. Here we are giving the best suitable strategies for Statistics optional for the UPSC IAS Mains Exam.

• Aspirants should have an exhaustive knowledge about the syllabus of Statistics optional.
• Candidates should know the basic concept of Statistics to tackle Paper-II.
• Make short notes, flowchart and diagram will preparing. These short notes will help in revision time.
• Aspirants should guarantee that they are emphasizing sustainability and economic dimensions also.
• The essential part of UPSC IAS Exam preparation is solving the previous year’s UPSC Mains questions papers. Statistics also aspirants should go through the Previous year question paper to extract an idea about exam patterns, trends, etc.

Statistics Paper I and Paper II Important Topics

• Probability
• Statistical Inference
• Linear Inference and Multivariate Analysis
• Sampling Theory and Design of Experiments
• Industrial Statistics
• Optimization Techniques
• Quantitative Economics and Official Statistics
• Demography and Psychometry

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