Business Statistics vtu mba First Sem

Syllabus

Course Code: MBA 104

Business Statistics

MODULE-1 (8 Hours)

Introduction to Statistics: Meaning and Definition, Importance, Types, Measures of Central Tendency -Arithmetic mean, Geometric mean, Harmonic mean, Median, Quartiles, Deciles, Percentiles, Mode. Measures of Dispersion -Range, Quartile deviation, Mean deviation, Standard deviation, Variance, Coefficient of Variation, Skewness, Moments and Kurtosis (Theory and Problems).

MODULE-2 (7 Hours)

Correlation and Regression: Correlation - Significance, Types, and Methods, Scatter diagram, Karl Pearson correlation, Spearman’s Rank correlation, Regression, Significance, Linear Regression Analysis, Types of regression models, Lines of Regression, Standard error of Estimate (Theory and Problems).

MODULE-3  (9 Hours)

Probability Distribution: Concept of probability, Counting rules for determining number of outcomes - Permutation and Combination, Rules of probability- Addition and Multiplication, Baye’s Theorem. Concept of Probability Distribution, Theoretical Probability Distributions - Binomial, Poisson, Normal (Problems only on Binomial, Poisson and Normal). (Theory and Problems).

MODULE-4  (8 Hours)

Time Series Analysis: Objectives, Variations in Time Series. Measurement of Trend, Graphic Method, Moving Average Method, Semi-Average Method, Least Square Method. Measurement of Seasonal Variations- Method of Simple Averages, Ratio to Trend Method-Ratio to Moving Average Method, Link Relative Method. (Theory and Problems).

MODULE-5   (8 Hours)

Hypotheses Testing: Definition, Types, Procedure for testing, Errors in hypotheses testing. Parametric and Non-Parametric Tests -t-test, z-test, f-test, Chi-square test, u-test, K-W Test (problems on all tests).Analysis of Variance (theory only)

MODULE-6   (10 Hours)

Computer lab for Statistics: SPSS: Overview of SPSS, Creating, saving and editing files, Importing files from other formats. Transforming Variables - Compute, Multiple responses. Organization and Presentation of Information - Measures of Central Tendency and Variability, Frequency Distributions. Charts and Graphs, Hypotheses testing using means and cross-tabulation, Paired t, Independent Sample t, Chi- square. Correlation, Regression Analysis, Linear, Logistic, Analysis of Variance- One Way ANOVA, ANOVA in regression.