Welcome to the dedicated web page for the AKTU MBA 1st Semester course on Business Statistics & Analytics (BMB 104). This course is thoughtfully designed to equip students with a strong foundation in statistical tools and analytical techniques essential for data-driven business decision-making. It covers descriptive statistics, probability theory, hypothesis testing, time series analysis, and the practical application of business analytics. The course follows the AICTE Model Curriculum & NEP 2020, effective from the academic session 2024-25.
For More Content Visit → AKTU MBA 1st Semester Notes
Course Code: BMB 104 | Course Credit: 3 | Contact Hours: 40 | Internal: 30 Marks | End Semester: 70 Marks | Total: 100 Marks
Unit I – Descriptive Statistics
Meaning, Scope, types, functions and limitations of statistics, Measures of Central tendency – Mean, Median, Mode, Quartiles, Measures of Dispersion – Range, Inter quartile range, Mean deviation, Standard deviation, Variance, Coefficient of Variation, Skewness and Kurtosis.
- Meaning, Scope, types, functions and limitations of statistics
- Measures of Central Tendency
- Mean
- Median
- Mode
- Quartiles
- Measures of Dispersion
- Range
- Inter Quartile Range
- Mean Deviation
- Standard Deviation
- Variance
- Coefficient of Variation
- Skewness and Kurtosis
Unit II – Time Series & Index Number
Time Series Analysis: Concept, Additive and Multiplicative models, Components of time series, Trend analysis – Least Square method – Linear and Non-Linear equations, Applications in business decision-making. Index Numbers – Meaning, Types of index numbers, uses of index numbers, Construction of Price, Quantity and Volume indices – Fixed base and Chain base methods.
- Concept of Time Series Analysis
- Additive and Multiplicative Models of Time Series
- Components of Time Series
- Trend Analysis
- Least Square Method
- Linear and Non-Linear Equations
- Applications in Business Decision-Making
- Meaning and Types of Index Numbers
- Uses of Index Numbers
- Construction of Price
- Quantity and Volume Indices
- Fixed Base and Chain Base Methods
Unit III – Correlation & Regression Analysis
Correlation Analysis: Rank Method & Karl Pearson’s Coefficient of Correlation and Properties of Correlation. Regression Analysis: Fitting of a Regression Line and Interpretation of Results, Properties of Regression Coefficients and Relationship between Regression and Correlation.
- Correlation Analysis
- Rank Method
- Karl Pearson’s Coefficient of Correlation
- Properties of Correlation
- Regression Analysis
- Fitting of a Regression Line
- Interpretation of Results
- Properties of Regression Coefficients
- Relationship between Regression and Correlation
Unit IV – Probability Theory & Distribution
Probability: Theory of Probability, Addition and Multiplication Law, Baye’s Theorem. Probability Theoretical Distributions: Concept and application of Binomial, Poisson and Normal distributions. Introduction to bivariate and multivariate data analysis (Cluster and Factor analysis).
- Theory of Probability
- Addition and Multiplication Law
- Baye’s Theorem
- Binomial Distribution
- Poisson Distribution
- Normal Distribution
- Introduction to Bivariate and Multivariate Data Analysis
- Cluster and Factor Analysis
Unit V – Hypothesis Testing & Business Analytics
Hypothesis Testing: Null and Alternative Hypotheses, Type I and Type II errors, Testing of Hypothesis – Large Sample Tests, Small Sample test, t, F, Z Test and Chi Square Test. Concept of Business Analytics – Meaning, types and application of Business Analytics, Use of Spread Sheet to analyze data – Descriptive analytics and Predictive analytics.
- Null and Alternative Hypotheses
- Type I and Type II Errors
- Large Sample Tests
- Small Sample Tests
- t Test
- F Test
- Z Test
- Chi Square Test
- Concept of Business Analytics – Meaning, Types and Application
- Use of Spread Sheet to Analyze Data
- Descriptive Analytics and Predictive Analytics
For More Content Visit → AKTU MBA Notes
Course Objectives of BMB 104
- Understand the different basic concept / fundamentals of business statistics.
- Understand the importance of measures of Descriptive statistics which includes measures of central tendency, Measures of Dispersion, Time Series Analysis, Index Number, Correlation and Regression analysis and their implication on Business performance.
- Understand the concept of Probability and its usage in various business applications.
- Understand the Hypothesis Testing concepts and use inferential statistics – t, F, Z Test and Chi Square Test.
- Understand the practical application of Descriptive and Inferential Statistics concepts and their uses for Business Analytics.
Download BMB 104 Official Syllabus PDF
Download the official AKTU MBA BMB 104 – Business Statistics & Analytics syllabus as prescribed by Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh, Lucknow. Effective from Session 2024-25, as per AICTE Model Curriculum & NEP 2020.
⬇ Download Syllabus of BMB 104 PDF
Course Outcomes of BMB 104
| Course Outcomes | Bloom’s Taxonomy |
| CO 1: Gaining Knowledge of basic concept / Fundamentals of business statistics. | Knowledge (K2) |
| CO 2: To compute various measures of central tendency, Measures of Dispersion, Time Series Analysis, Index Number, Correlation and Regression analysis and their implication on Business performance. | Remembering (K1) · Applying (K4) |
| CO 3: Evaluating basic concepts of probability and perform probability theoretical distributions. | Comprehending (K3) · Applying (K4) |
| CO 4: To apply Hypothesis Testing concepts and able to apply inferential statistics – t, F, Z Test and Chi Square Test. | Analyzing (K5) · Synthesizing (K6) |
| CO 5: To perform practical application by taking managerial decision and evaluating the Concept of Business Analytics. | Evaluating (K7) · Applying (K4) |
Suggested Readings
- G C Beri – Business Statistics, 3rd Ed, TATA McGraw Hill.
- Chandrasekaran & Umaparvathi – Statistics for Managers, 1st Edition, PHI Learning.
- Davis, Pecar – Business Statistics using Excel, Oxford.
- Ken Black – Business Statistics, 5th Ed., Wiley India.
- Levin and Rubin – Statistics for Management, 7th Ed., Pearson.
- Lind, Marchal, Wathen – Statistical Techniques in Business and Economics, 13th Ed, McGraw Hill.
- Newbold, Carlson, Thorne – Statistics for Business and Economics, 6th Ed., Pearson.
- S. C. Gupta – Fundamentals of Statistics, Himalaya Publishing.
- Walpole – Probability and Statistics for Scientists and Engineers, 8th Ed., Pearson.
Business Statistics & Analytics is an indispensable subject that transforms raw data into meaningful insights for strategic business decisions. By mastering statistical tools, probability theory, hypothesis testing, and business analytics, students develop the quantitative mindset needed to thrive in today’s data-driven business world. We are delighted to support your statistical learning journey and look forward to helping you build a strong analytical foundation for your managerial career ahead.