Semester 1MGT4106

Quantitative Techniques in Management (MGT4106) crash course, Online MBA, Semester 1:

This subject covers the statistical tools managers use for decisions: describing data, probability and distributions, sampling and estimation, hypothesis…

  • 29 video lessons
  • 10h 14m
  • Study notes
  • 140 quiz questions
  • Assignment
Quantitative Techniques in Management crash course

29 lessons in Quantitative Techniques in Management

Each lesson pairs one topic with a hand-picked video, trimmed to the part that teaches it.

About this subject

This subject covers the statistical tools managers use for decisions: describing data, probability and distributions, sampling and estimation, hypothesis testing, correlation, regression, time series and analysis in SPSS. After it you will be able to summarise business data, run and interpret common statistical tests and regression output, and perform univariate and bivariate analysis in SPSS.

  1. 1

    Statistics in Business and Classification of Data

    Module I, Introduction: Application of Statistics in Business, Classification of Data

    Business Statistics and Analytics, business statistics and analytics aktu notes, mba, bba, dwivedi· DWIVEDI GUIDANCE· 22 min

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  2. 2

    Diagrams and Graphs of Data: Reading Computer Output

    Module I, Introduction: Interpretation of computer output of diagrammatic and graphical presentation of data

    How To Choose The Right Graph (Types of Graphs and When To Use Them)· UNDATABLE· 4 min

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  3. 3

    Mean, Median, Mode, Dispersion and Skewness

    Module I, Introduction: Measures of central tendency, measures of dispersion and skewness

    Mean, Median, Mode, SD & Skewness Solved | Business Statistics Unit 1 | AKTU MBA 1st Sem· Knowledge Partner· 15 min

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  4. 4

    Probability Basics: Addition and Multiplication Theorems

    Module II, Probability and Probability Distributions: Concepts of Probability, Addition theorem, Multiplication theorem

    Probability one shot|Statistics|Business Statistics|BBA|BCA|B.COM|B.TECH|DreamMaths· Dream Maths· 83 min

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  5. 5

    Bayes' Theorem with Business Examples

    Module II, Probability and Probability Distributions: Bayes' Theorem

    Bayes' Theorem | Probability | By GP Sir· Dr.Gajendra Purohit· 23 min

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  6. 6

    Binomial and Poisson Distributions

    Module II, Probability and Probability Distributions: Continuous and discrete probability distribution: Binomial Probability Distribution, Poisson Probability Distribution

    Probability Distributions: From Basics to Binomial and Poisson· LEARN & APPLY : Lean and Six Sigma· 8 min

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  7. 7

    Normal Probability Distribution

    Module II, Probability and Probability Distributions: Normal Probability Distribution

    Normal Distribution EXPLAINED with Examples· Ace Tutors· 10 min

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  8. 8

    Sampling Methods and Sampling Errors

    Module III, Sampling and Sampling Distribution: Sampling: Basic Concept, Types of Sampling, Errors and Precautions in sampling, Size of sample

    7| Business Research Methods, Sampling, Sample, Sampling Errors, sampling frame, universe, mba, bba· DWIVEDI GUIDANCE· 17 min

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  9. 9

    Sampling Distribution of Mean and Proportion

    Module III, Sampling and Sampling Distribution: Parameter and Statistic, Sampling Distribution of the mean, Sampling distribution of proportion

    Part 1: What Is the Sampling Distribution of Sample Mean & Proportion? | Intuitive Explanation· Statistics Curiosity· 20 min

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  10. 10

    Point and Interval Estimation

    Module III, Sampling and Sampling Distribution: Estimation – point estimation, Interval Estimation

    Inferential Statistics | Point Estimation | Interval Estimation | Statistics Tutorial· Tech Classes· 10 min

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  11. 11

    Hypothesis Testing Basics: Null, Alternative, One- and Two-Tailed Tests

    Module IV, Tests of Hypothesis: Null and Alternative hypothesis, One-Tailed and Two-Tailed tests of hypothesis

    Introduction to Hypothesis Testing|Statistics|BBA|BCA|B.COM|B.TECH|Dream Maths· Dream Maths· 42 min

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  12. 12

    Type I and Type II Errors, p-Value and Critical Value Approach

    Module IV, Tests of Hypothesis: Type I and Type II error, Rejection rule using p-Value and critical value approach

    What is P-value in hypothesis testing | P-Value Method Hypothesis Testing | P value in Statistics· Digital E-Learning· 11 min

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  13. 13

    t-Tests: One Sample, Independent and Paired Samples

    Module IV, Tests of Hypothesis: Hypothesis Testing to compare two populations: Test for one sample mean, Test for two population means (Independent Samples), Tests for two population means (Dependent Samples)

    t-Test - Full Course - Everything you need to know· numiqo· 16 min

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  14. 14

    Two Proportions, Two Variances and the F-Test

    Module IV, Tests of Hypothesis: Tests for two population proportions (Independent Samples), Tests for two population variances (Dependent Samples), F-test

    Introduction to F-Test|Variance Ratio Test|Statistics|BBA|BCA|B.COM|B.TECH|Dream Maths· Dream Maths· 41 min

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  15. 15

    Chi-Square Test

    Module IV, Tests of Hypothesis: Chi-Square Test

    Chi-Square Test Explained with Solved Numerical in Hindi l Machine Learning Course· 5 Minutes Engineering· 10 min

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  16. 16

    Karl Pearson and Spearman's Rank Correlation

    Module V, Forecasting Techniques: Correlation - Karl Pearson, Spearman's Rank methods

    Correlation Analysis one shot|Business Statistics|Statistics|BBA|BCA|B.COM|B.TECH|Dream Maths· Dream Maths· 75 min

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  17. 17

    Simple Linear Regression and Least Squares

    Module V, Forecasting Techniques: Simple linear regression analysis – Estimated regression equation, Least squares method, Coefficient of determination

    What is Simple Linear Regression in Statistics | Linear Regression Using Least Squares Method· Digital E-Learning· 11 min

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  18. 18

    Interpreting Regression Output

    Module V, Forecasting Techniques: Interpretation of computer output for Regression

    Regression Analysis Using SPSS - Analysis, Interpretation, and Reporting· Research With Fawad· 11 min

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  19. 19

    Time Series and Trend Analysis

    Module V, Forecasting Techniques: Introduction to time series, Trend analysis

    Time Series Analysis Concepts | Components of Time Series, Models & Trend Analysis· Management e Learning : Shivanjali Singh· 12 min

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  20. 20

    Introduction to SPSS

    Module VI, : Introduction to SPSS

    SPSS in Hindi Part 1 (Statistical Package for Social Science)· Dr. Rani Vaidya (Learning at Home)· 21 min

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  21. 21

    Univariate and Bivariate Analysis in SPSS

    Module VI, : Performing univariate and bivariate analysis on SPSS

    Unit 30 : Using SPSS for Data Analysis Contents· Ubundu Sociology Academy· 18 min

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  22. 22

    Kurtosis and Coefficient of Variation Explained

    SD, variance, coefficient of variation, Skewness and kurtosis

    Skewness & Kurtosis | Moments | Leptokurtic, Mesokurtic, Platykurtic· Dr.Gajendra Purohit· 15 min

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  23. 23

    Central Limit Theorem and the Z-Test

    central limit theorem, z-test, t-test, chi-square

    Lec-43: Central Limit Theorem | Probability and Statistics· Gate Smashers· 11 min

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  24. 24

    One-Way ANOVA Explained

    ANOVA

    Part 2: One Way ANOVA | Question & Solution | Steps Involved in ANOVA | Analysis of Variance· Dr. Puspendra Classes· 15 min

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  25. 25

    Components of Time Series and Moving Averages

    Components of time series, Moving averages, Trend fitting

    Time Series Analysis | Component Of Time Series | Moving Average Method Of Time Series· Dr.Gajendra Purohit· 13 min

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  26. 26

    Index Numbers: Laspeyres, Paasche and Fisher

    Laspeyres, Paasche, Fisher indices

    6. Laspeyre’s Index Numbers, Paasache’s Index Numbers & Fishers’s Ideal Method from Index Numbers· Devika's Commerce & Management Academy· 17 min

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  27. 27

    Linear Programming Formulation and Graphical Method

    LP formulation, Graphical method

    Formulation of LPP | Linear Programming Problem | Operation Research | LPP· Start Practicing· 14 min

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  28. 28

    Simplex Method Basics

    Simplex basics

    LPP using||SIMPLEX METHOD||simple Steps with solved problem||in Operations Research||by kauserwise· Kauser Wise· 27 min

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  29. 29

    Transportation and Assignment Problems

    Transportation and assignment problems

    Transportation problem||vogel's approximation[VAM]|Northwest corner||Least cost | by Kauserwise· Kauser Wise· 22 min

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Assignment

Quantitative Analysis Case: Data-Driven Decisions for a Retail Chain

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    Hand-picked video lessons

    29 short lessons, each with the best YouTube explanation we could find, trimmed to the part that matters.

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    Quizzes

    140 questions across the course, with the right answer and why, the moment you pick.

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    1 subject assignments with clear tasks, so you practise what each subject actually asks of you.

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Quantitative Techniques in Management: common questions

This subject covers the statistical tools managers use for decisions: describing data, probability and distributions, sampling and estimation, hypothesis testing, correlation, regression, time series and analysis in SPSS. After it you will be able to summarise business data, run and interpret common statistical tests and regression output, and perform univariate and bivariate analysis in SPSS. It's the Quantitative Techniques in Management subject of Online MBA, Semester 1, in 29 lessons: Statistics in Business and Classification of Data; Diagrams and Graphs of Data: Reading Computer Output; Mean, Median, Mode, Dispersion and Skewness; Probability Basics: Addition and Multiplication Theorems; Bayes' Theorem with Business Examples; Binomial and Poisson Distributions; Normal Probability Distribution; Sampling Methods and Sampling Errors; Sampling Distribution of Mean and Proportion; Point and Interval Estimation; Hypothesis Testing Basics: Null, Alternative, One- and Two-Tailed Tests; Type I and Type II Errors, p-Value and Critical Value Approach; t-Tests: One Sample, Independent and Paired Samples; Two Proportions, Two Variances and the F-Test; Chi-Square Test; Karl Pearson and Spearman's Rank Correlation; Simple Linear Regression and Least Squares; Interpreting Regression Output; Time Series and Trend Analysis; Introduction to SPSS; Univariate and Bivariate Analysis in SPSS; Kurtosis and Coefficient of Variation Explained; Central Limit Theorem and the Z-Test; One-Way ANOVA Explained; Components of Time Series and Moving Averages; Index Numbers: Laspeyres, Paasche and Fisher; Linear Programming Formulation and Graphical Method; Simplex Method Basics; Transportation and Assignment Problems.

Yes. Every video lesson is free to watch without an account. A free login unlocks study notes, quizzes, the assignment, a notebook and progress that syncs across devices.

About 10h 14m of video across 29 lessons, plus time for notes and quizzes. Go at your own pace; your place is saved.

Yes: “Quantitative Analysis Case: Data-Driven Decisions for a Retail Chain”. It comes after the last lesson, with a brief, clear tasks and how the work is judged.

A members-only live chat beside the video, shared by everyone studying Online MBA, where learners ask doubts, share tips and react with stickers and GIFs. One ₹19 pass, paid once from your InsideEdge wallet, opens the live chat for every degree.

No. It's a crash course to help you understand and revise the subject quickly. Use it alongside your official study material and assignments.