BCOC 134 Business Mathamatics and Statistics

BCOC-134 Business Mathamatics and Statistics by IGNOU

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Created by IGNOU Staff Last updated Wed, 16-Mar-2022 English


BCOC 134 Business Mathamatics and Statistics free videos and free material uploaded by IGNOU Staff .

Syllabus / What will i learn?

Week-1: Matrices

Unit-1: Introduction to Matrices

Week-2: Determinants

Unit-2: Determinants

Week-3: Inverse Matrix

Unit-3: Inverse of Matrices

Week-4: Mathematical Functions

Unit-4: Application of Matrices in Business and Economics;

Unit-5: Mathematical Functions

Week-5: Differential calculus

Unit-6: Limit and Continuity

Week-6: Differentiation-1

Unit-7: Concept of Differentiation

Week-7: Differentiation-2

Unit-8: Maxmima and Minimima of Functions;

Unit-9: Application of Derivatives

Week-8: Basic Mathematics of Finance

Unit-10: Interest Rates;

Unit-11: Compounding and Discounting

Part-B: Business Statistics

Week-9: Univariate Analysis-1

Unit-12: Introduction to Statistics;

Unit-13:Measures of Central Tendency

Week-10: Univariate Analysis-2

Unit-14: Measures of Dispersion

Week-11: Bivariate Analysis-1

Unit-15: Simple Linear Correlation

Week-12: Bivariate Analysis-2

Unit-16: Simple Linear Regression

Week-13: Time Based Data Analysis-1

Unit-17: Index Numbers

Week-14: Time Based Data Analysis-2

Unit-18: Time Series Analysis



Curriculum for this course
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Description

As an owner or manager of a business enterprise you need to manage money and take decisions on the basis of accurate estimates which require everyone to know mathematics and statistics. This course is divided into two parts Business Mathematics (Part A) and Statistics (Part B). Part A enables the students to know the financial formulas, fractions; measurements involved in interest calculation, hire rates, salary calculation, tax calculation etc. which help complete business tasks efficiently. Whereas, Part B enables the learners to make various kinds of analysis on the basis of accurate estimates that helps a business to deal with uncertainties by forecasting seasonal, cyclic and general economic fluctuations.

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