# Statistical Methods Syllabus | MBS First Semester

Credits : 3, Lecture Hours: 48

Statistical Methods Syllabus | MBS First Semester

### Course Objectives

The course aims to impart knowledge and skills of statistical techniques ad their applications in solving business problems

### Course Details

Unit 1: Probability LH6

• Concept and importance of probability,
• approaches to probability.
• conditional probability,
• Baye’s theorem and decision tree.

Unit 2: Probability Distribution LH6

• Discrete probability distribution: Binomial and Poisson,
• Continuous probability distribution: Normal Distribution and their properties along with applications.

Unit 3: Sampling and Estimation LH6

• Sampling techniques,
• sampling and non-sampling errors,
• sampling distribution,
• standard error,
• application of standard error,
• concept of the central limit theorem
• Estimation theory,
• criteria of a good estimator,
• point and interval estimate,
• relationship among errors,
• risk and sample size,
• determination of sample size

Unit 4: Testing of Hypothesis LH18

• Meaning of hypothesis testing,
• types of error in hypothesis testing,
• critical region,
• one-tailed and two-tailed tests,
• Parametric Test: large sample test of mean and proportions,
• small sample test of mean,
• paired t-test,
• test of significance of correlation coefficient,
• variance ratio test,
• one-way and two-way Analysis of Variance (ANOVA),
• Non-parametric test: Chi-square test of goodness of fit and independence of attributes,
• chi-square test for population variance.

Unit 5: Correlation and Regression Analysis LH12

• Partial and multiple correlations,
• coefficient of determination,
• concept of linear and non-linear regression,
• multiple regression equation,
• standard error of estimate for multiple regression,
• test of regression model and regression coefficients,
• auto-correlation and multicollinearity,
• Residual analysis: Linearity of the regression model,
• Homoscedasticity,
• Normality of error.