How to Prepare CPT Quantitative Aptitude in 30 Days | June 2018. In the previous articles, we have given articles about How to Prepare CA CPT Accounts, Mercantile Law, and General Economics in 30 days. Today we are providing the article on How to prepare CA CPT Quantitative Aptitude (Maths and Statistics) in 30 days. In this post, you will get Nature & Importance of CPT Quantitative Aptitude, Recent trends in question papers, challenges that you will face in this subject and how to face them?, How to Pass CPT Quantitative Aptitude in this Last Few Days? And in which type of MCQ’s you should be more careful. This article has given by a private institute ” Master Minds ” for the benefit of CA CPT students. Read below.
How to Prepare CPT Quantitative Aptitude in 30 Days | June 2018
Nature and Importance of this Subject:
a) For students coming from Maths background like MEC / MPC, this is a very scoring subject. But unfortunately, in majority cases, MPC/MEC students are not scoring good marks in this subject because of over confidence and lack of practice.
b) Some chapters are not there in Intermediate Maths subject, even for MEC/MPC students. In the case of some chapters, models covered in Intermediate are different from that of models covered in CPT Maths. For example, Derivatives & Integrals. At Intermediate level majority of questions will be trigonometry based. But in CPT level trigonometry is not there in the syllabus. So, students coming from all backgrounds must be alert.
c) Some CEC students are simply leaving this subject. But that is not a good strategy. Instead of ignoring the entire chapter or subject, students are advised to focus on some important models in each chapter and ignore the unimportant models. As there are subject wise cutoff marks, CEC students should focus on this subject also, to qualify the CPT exam.
d) We need to focus on all the chapters – You can’t find some few chapters having huge weightage in the exam. Even from the most important chapter, we will get only 2 to 3 marks.
e) Majority questions from this subject are very lengthy. Don’t depend much on shortcuts.
f) The same preparation will be useful for CMA Foundation & B.Com 1st year also.
g) If the Economics subject is easy, then the chances of getting time taking or difficult MCQs in QA subject are more.
Recent trends in question papers, challenges that you will face in this subject and how to face them?
How to Prepare this Subject in Last Few Days?
a) The majority number of students are just referring to the MATERIAL AND NOTES as if it is a theory subject. If you revise in that way you will definitely feel that you can answer all the questions. But this is not the way to revise this subject. You must solve the MCQs on your own in a separate notebook.
At this moment you have to solve only important ones which you have not stricken off earlier. It is impossible to solve all the MCQs at this moment.
b) Chapters to be concentrated more – 5, 6, 9, 10, 11, 13, 14 & 15
You can expect around 17 questions from these chapters.
c) Pay more attention to Theory part also in the chapter of MATHEMATICS OF FINANCE.
|No.||Chapter||Expected Marks||Most Repeated Models in the Exam||Complicated Models to be Focused More|
|1||Logarithms||1 to 2||Model – 5, 6, 7 & 12||Model – 11|
|2||Theory of Indices and Surds||0 to 1||Model – 2, 3 & 6||Model – 4 & 9|
|3||Sets||1 to 2||Model – 12 & 14||Model – 2 & 9|
|4||Relations and Functions||1 to 2||Model – 3, 8, 9 & 15||Model – 16 & 18|
|5||A.P||2 to 4||Model – 4, 5, 6 & 8||Model – 11 & 15|
|6||G.P||1 to 2||Model – 4, 5, 7 & 11||Model – 12|
|7||Co- ordinate Geometry||1 to 2||Model – 2, 6, 13, 14, 15 & 16||Model – 18 & 19|
|8||Linear In equations||1||Model – 1 & 2||Model – 3|
|9||Equations||2 to 3||Model – 2, 4, 5 & 6||Model – 9 & 11|
|10||Limits||1 to 2||Model – 2, 8 & 12||Model – 5 & 10|
|11||Derivatives||1 to 3||Model – 1, 4, 6 & 15||Model – 5, 7, 9, 10 & 16|
|12||Integration||2 to 4||Model – 8, 14 & 17||Model – 7, 11 & 22|
|13||Permutations and Combinations||2 to 3||Model – 2, 4, 14, 15 & 23||Model – 5, 11, 12, 18, 20
|14||Ratios & Proportions||1 to 2||Model – 3 & 6||Model – 9 & 10|
|15||Mathematics of Finance||2 to 3||Model – 1, 2, 3 & 6||Model – 8, 11 & 12|
4. Be Careful with the MCQ’s of Following Types :
- Be careful with the options which are equal in value (For example ½ and 2/4)
- In the chapters of Derivatives & Integrations you may get some MCQs which are linked with the knowledge of Economics (like Marginal Cost, etc.). Pay more attention on such questions. We may need to face a new question in the exam from that area and that question will be rank deciding question.
1. Nature and Importance of this Subject :
a) Statistics is a new subject to all students coming from all backgrounds i.e. from MPC/MEC/CEC. So, try to pay more attention on this subject. Try to revise the subject daily.
b) For students coming from Maths background like MEC / MPC this is a very scoring subject. But unfortunately, in majority cases MPC/MEC students are not scoring good marks in this subject because of over confidence and lack of command on Formulae.
c) Students who are poor in Mathematics (including CEC students) must concentrate more on this subject so as to get qualifying marks in the subject of Quantitative Aptitude. This subject is independent of Mathematics.
d) Even in the main exam, majority questions from this subject are very lengthy. Don’t depend much on shortcuts.
e) Weightage of Problems & Theory in Statistics (based on the analysis of past examinations):
- June attempt: Problems – 56%, Theory – 44%
- Dec attempt: Problems – 52%, Theory – 48%
f) Don’t neglect MCQs on Theory. Pay equal attention. This will save a lot of time in the exam.
g) If you are thorough with this syllabus then you can comfortably attempt your B.Com 1st year also. The same preparation will be useful for CMA Foundation also.
2. Recent Trends in Question Papers, Challenges that You will Face in this Subject and How to Face them ? – Same as Mathematics.
Most of the questions are direct. In some questions, a simple twist may be there. Sometimes one or two bits may be given beyond the syllabus. For example, in Dec 2014, two questions were given from the concept of Moments in Theoretical Distribution.
3. How to Prepare this Subject in this Last Few Days ?
a) The most important area to be concentrated in Statistics subject is Formulae in all the chapters. If you are thorough with formulae then you can answer any type of question, in any chapter, very easily. For your convenience we have provided formulae of all chapters in fast track notes of fast track material.
Majority students are not putting enough focus on formulae and they are spending more time on solving problems without getting enough command on formulae. This is not correct. Atleast now put special focus on revising formulae.
b) In case of Statistics subject (Problems), most of the students are just referring to the MATERIAL AND NOTES as if it is a theory subject. If you revise in that way you will definitely feel that you can answer all the questions. But this is not the way to revise this subject. You must solve the MCQs on your own in a separate notebook.
At this moment you have to solve only important ones which you have not striked off earlier. It is impossible for any one to solve all MCQs at this moment.
c) In case of Theory part – no need to read question and answers given in the main material. Simply, read FAST TRACK NOTES given for theory in fast track material. Then you prepare MCQs on theory given in the main material. Similarly underline highlight points in theory part using highlighter or atleast red pen.
d) Probability & Theoretical Distributions chapters are very important from exam point of view and fortunately those chapters are already known to MEC/MPC students in Intermediate itself. But models covered in Intermediate are different from that of models covered in CPT. So, students coming from all backgrounds must be alert with respect to those 2 chapters.
e) Chapters to be concentrated more – Probability, Distributions, Sampling, Statistical
distribution of data, Measures of Central Tendency.
|No.||Chapter||Expected Marks||Most Repeated Models in the Exam||Complicated Models to be Focused More|
|1||Measures ofCentralTendency||2 to 3||Problems: Combined Mean; INDIVIDUAL SERIES; (Median, GM); CORRECTED AM; Relationship x Between , M & Z; Mode (Equation Model); Applications of simple & weighted HM||Problems: A.M:(Assumed Mean, Continuous Series); Median: (Discrete & Continuous Series); Other positional Average – Deciles and Percentiles|
|Theory: Relationship between , M & Z ; Relationship Between AM, GM & HM||Theory: Features of Good Average; Median|
|2||Measures of Dispersion||1 to 3||Problems: Coefficient of Variation; SD (Equation Model, Combined SD, Properties); MD (Equation Model, Individual series, AP series)||Problems: Range – Equation Model; QD – individual, Discrete and continuous series; MD – Discrete & Continuous series, Properties; SD – Discrete & Continuous series|
|Theory: SD; Relationship between QD, MD & SD.||Theory: Mean Deviation|
|3||Correlation||1 to 2|| Problems: Rank method; Change of
origin and scale; Karl Pearson’s
Method (Deviations from AM, &
Assumed Mean, Using Covariance)
|Problems: Karl Pearson’s Coefficient By Product Moment (No Deviation Method); Probable Error|
|Theory: Rank Method; Types of
correlation; KP method; Probable
Error. Properties Of Correlation
|Theory: Bivariate Frequency Distribution;|
|4||Regression||2 to 4||Problems: Finding ‘r’ using
Regression Equations; Estimation
through REs; Finding Regression
Coefficients using r & SD; Finding
x, y ( ) (intersecting point of
|Problems: Finding Regression coefficients
without taking any deviations
|Theory: Properties of Regression
Coefficients; Regression Equations.
|5||IndexNumbers||2 to 3||Problems: Other types of weighted
Aggregative Method (Las, Pas, Fisher,
Marshal, Bowley); Cost of Living Index
numbers; Price & Quantity Relatives.
|Problems: Chain Base Index Numbers|
|Theory: Weighted & Unweighted
Index Number; CT; FRT; TRT; Unit
|6||Statisticaldescription ofdata||3 to 4||Problems: Frequency Distribution;
Diagrammatic Representation (Pie
Representation ; Ogive curves;
Frequency Distribution; Histogram;
Collection of data; Classification of
Data; Tabulation of Data;
Introduction; Frequency Curves;
Dimensions of graphs.
|Theory: Presentation of Data|
|7||Probability||4 to 5||Problems based on (Theory; Drawing
Balls; Addition Theorem;
Multiplication Theorem; Independent
Problems based on (Conditional Probability; Expected Value Problems like two Dice are rolled what is expected value
of their sum?)
Expectation; Random Variable
|Theory: Random Variable Theory||Theory: –|
|9||TheoreticalDistributions||3 to 4||Problems: Binomial Application;
Poisson application; Normal
|Theory: Normal Theory; Binomial
Theory; Poisson Theory;
|Theory & Applications: Uniform
|10||Sampling||2 to 3||Problems: Standard Error;
Confidence Limits; Sample Size;
|Theory: Estimation; Simple Random
Sampling; Standard Error; Sampling
distribution; Methods of sampling
(Systematic, Random, Stratified
sampling); Testing of Hypothesis;
|Theory: Laws of Sampling; Cluster &
Multistage Sampling; t and chi-square;
sampling distribution; Degree of freedom
4. Be careful with the MCQs of following types:
- Calculation of Variance
- True / False statements
- In the options like Both (a) &(b) / Either (a) or (b)
- Inequality conditions like AM ≥ GM ≥ HM etc.,
- In regression bxy , byx and r
- In the probability chapter, conditional probability MCQs.
- In the chapter of sampling, choose appropriate formulae based on given information i.e., sample variance, population variance, large population, etc.,
- In the chapter of Theoretical distributions sign of Z value.
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