This is a course on Statistics for Business Decisions. It is a core subject which has 4 credits and 40 modules that would be offered under the program. The application of Statistical Techniques for Business Decisions would be the prime focus of the program. The course structure would range from Descriptive Statistics to Inferential Statistics. Under Descriptive Statistics, topics like Measures of Central Tendency, Measures of Dispersion, Regression and Time Series would be discussed. Under Inferential Statistics topics like Probability, Probability Distribution and Hypothesis Testing would be covered. Students would learn how to apply these statistical techniques not only for business decisions but also for research methodology. This course will be offered over a span of twelve weeks. By the end of the week, the students will be given assignments and FAQs. The queries will be answered through emails.
Overview
Syllabus
1 Measures of Central Tendency 1 2 Merits, Limitations and Suitability of Averages 3 Measures of Central Tendency 2 4 Measures of Dispersion 5 Measures of Variation 6 Measures of Central Tendency 7 Standard Deviation 8 Measurement of Coefficient of Variation 9 Correlation and Causation 10 Karl Pearson's Coefficient of Correlation 11 Spearman Rank Coefficient of Correlation 12 Numerical examples of Coefficient of Correlation 13 Regression Analysis 14 Linear Regression 15 Numerical examples of Regression 16 Standard Error of Estimate 17 Time Series - Properties and components 18 Time Series - Utility and Methods 19 Time Series - Meaning and Significance 20 Time Series - Method of Least Square 21 Parabolic trends and Non parabolic trends 22 Index Number 23 Index Number - 2 24 Chain Index Number 25 Probability: Fundamental concepts and approaches 26 Probability and its Rules 27 Probability: Bayes Theorem 28 Probability Distribution 29 Bionomial Distribution 30 Poisson Distribution 31 Exponential Distribtuion 32 Normal Distribution 33 Inferential Statistics 34 Hypothesis - An introduction 35 Hypothesis and its process 36 One tailed and Two tailed tests of hypothesis 37 Type I and Type II errors 38 Hypothesis - Z test 39 Hypothesis - T test 40 SPSS
Taught by
PROF. KARUNESH SAXENA, Prof. Karunesh Saxena
