Statistics for Business Decisions

By PROF. KARUNESH SAXENA | M.L. Sukhadia University, Udaipur

Learners enrolled: 1159

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.

Summary

Course Status :	Completed
Course Type :	Core
Duration :	12 weeks
Category :	Management Studies
Credit Points :	4
Level :	Undergraduate
Start Date :	02 Aug 2021
End Date :	31 Oct 2021
Exam Date :

Page Visits

Course layout

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