BCOC-134 · December 2025 · English

IGNOU BCOC-134 December 2025 Previous Year Question Paper

Business Mathematics And Statistics

Structured previous year question paper for BCOC-134, December 2025 session.

Max marks: 100 · Questions: 9

Verified: 29 Jul 2026

BACHELOR OF COMMERCE

(GENERAL) [B. COM.

(G)]

Term-End Examination

December, 2025

BCOC-134 : BUSINESS MATHEMATICS AND

STATISTICS

Time : 3 Hours Maximum Marks : 100

Note:

(i) Question No. 1 is compulsory.

(ii) Attempt both Part A and Part B as

directed.

(iii) All questions carry equal marks.

Q1.(a) Explain the following terms with example for each : 10

(i) Cost function

(ii) Composite function

(iii) Inverse function

(iv) Demand function

(b) Discuss briefly the importance of statistics in the following disciplines : 10 G@) Business and Management Gi) Accountancy and Auditing Part—A Note : Answer any two questions from this Part.

Q2.(a) Explain the different properties of determinants. 10

(b) Solve the following system of equations by Cramer’s rule : 10 2x + 5y=1 and 38x + 2y=7 Fi dy :

Q3.Find zk for any four from the following : 4x5=20 3 2

(e) x= at? and y = 2at

(0) y=x?.log x

Q4.(a) Find the intervals in which the function fx) given by f(x) = 4x° — 6x? — 72x + 30 is

(i) increasing, and

(ii) decreasing. 10

(b) Find local maxima and local minima values of the function f(x) by using second order derivative : 10 f(x) = 3x4 + 4x3 — 12x? +

(12)

Q5.Write notes on the following : @ Nominal and effective rate of interest 5

(ii) Present value 5

(iii) Types of discounts 10 Part—B Note: Attempt any two questions from this Part.

Q6.What is the meaning of measurement of central tendency ? Explain different measures of central tendency with their merits and demerits.

Q7.Calculate the correlation coefficient from the following data : 20 x y 12 14 9 8 8 6 10 9 11 11 13 12 7 3 What will be correlation coefficient of 2x + 6 and 2y—2?

Q8.What is an Index Number ? What are the different uses of it ? Briefly explain different criteria (tests) for a good index number.

Q9.Fit a linear trend to the following data by the least square method. Also estimate the production for the year 2025 : 20 Year Production (in ’000 tons) 2019 18 2020 21 2021 23 2022 27 2023 16 22+ 8» 51 4x5=20

(A) x? + xy +9? =1

(00)

Q10.2

(a) y=e" te +e% cay ¥=Ver= 3)? +4) CH) y = x9 log x

Q11.(8) afe f(x) =4x° - 6x? —72x 430 SRI feat derivative) I STaM BA We f(x) F fafers (local minima) 4M aa Fife: 10 f(x) = 3x4 + 4x3 — 12x” +12 x y 12 14 9 8 8 6 10 9 11 1 13 12 7 3 Year Production (in ’000 tons) 2019 18 2020 21 20

(21)