K Ramakrishnan, Thomason Rajan and KG Satheesh Kumar
I keep six honest serving-men, They taught me all I know; Their names are What and Why and When, And How and Where and Who." Rudyard Kipling.
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12 Jan 08: Sridhar, Viju and Vanaja present: "Exploring, Displaying and Examining Data" All Present except Chitra and Jayashankar
15 Jan 08: CLT, Type I and II errors All Present
22 Jan 08 (16/45): All Present Sampling Distribution, SE, CLT
13 Feb 08 (17/45): Session by Ramki
18 Feb 08 (18,19,20/45): Sessions by Ramki
27 Feb 08 (21&22/45): Properties of Normal Distribution - linear combinations of normal variates, finding mean and variance etc. All Present except Anitha, Saritha, Priya
28 Feb 08 (23&24/45): Random sampling using excel, distribution of sample means, the three aspects of central limit theorem All except Anitha, Saritha, Deepti J, Sudit, Manu
29 Feb 08 (25&26/45): Prof. Ramki's combined sessions: Estimation of mean - point estimate and interval estimate; confidence level
03 Mar 08 (27/45): Exercises in sampling distribution of means. Proportion. All present
04 Mar 08 (28/45): Exercises in sampling distribution of proportion. All except Anitha, Deepti J, Sudit, Manu, Vanaja
07 Mar 08 (29,30/45): Estimation. ppt. See. Qns. 1 2 3 4 5 6 Table of t-distribution . Interval estimate = point estimate +/- margin of error, where margin of error = (z or t value) x (SE). All except Asha Sukumaran and Gayatri
08 Mar 08 (31/45): Sample size determination Spot Test for 5 points: Qn and Ans. All except Sudit, Manu, Viju, Priya, Gayatri
17 Mar 08 (32/45): Sample size determination Hypothesis Testing All plus Ruby, Kartik, Jayadevan, Vinod, Vinita, Vinit & Arvind.
18 Mar 08 (33/45): Hypothesis Testing: p-value, alpha, beta, left/right/two-tailed tests All but Chitra and Aparna, plus Vidya, Kartik, Jayadevan, Vinod, Vinit & Arvind.
19 Mar 08 (34/45): Hypothesis Testing All but Chitra, Aparna, Sudit, Asha S, Asha V plus Vidya, Kartik, Jayadevan, Vinod, Vinit & Vinita.
25 Mar 08 (35&36/45): Hypothesis Testing examples All but Chitra, Sarita, Vanaja & Sudit plus Vidya, Neeraj, Vinit & Vinita. 29 Mar 08 (37/45): Chi-square distribution, confidence interval for population variance. Table of chi-squared or a better one here. All but Viju
01 Apr 08 (38/45): Testing hypotheses about population variances. Calculation of beta value (prob of type II error) All present
Here is a ppt on Hypothesis Testing, prepared for MHA students of CDC, Medical College, Trivandrum
Sessions by Thomason Rajan
02 Apr 08: BRM Test 2 Q&A. All present
03 Apr 08: Report writing: See a sample Report (click) All present except Jayashankar and Sudit
11Apr 08: Review on writing proposals. Students asked to submit a research proposal outlining the problem, objectives and methodology of the study that they have chosen.
All present except Asha V, Jayashankar and Sudit (Jayasankar had gone to meet his internship team of Sankar, Divya and IIMA grads)
12Apr 08: Review on writing proposals. Sample proposal discussed.
All present except Asha V, Vanaja, Srikanth, Deepthi J, Radha, Shalini |
45 hours 4 credits Core course Scores. The BRM course aims to equip learners with the methodology and techniques used in business research, an essential aid for managerial decision making.
Recommended Texts
1. Cooper and Schindler, Business Research Methods, Tata McGraw-Hill Click 2. Kothari, C.R, Research Methodology, 2/ed, New Age International (2004) Click
Evaluation (Percentage points) Participation (1.5 x best 10) = 15 Assignments (5 x best 4) = 20 Class Tests (20 x best 2) = 40 Course Project = 25
Min for a C grade will be 50 percentage points.
Links 1. From E-LIS archives. Author: Sridhar M.S. (2007) Introduction to Research & RM. Selecting and Formulating R Problem. Sampling and Sampling Strategy. Measurement, Scaling Techniques. Data Collection Methods, Techniques.
2. Carter McNamara, "Basic Business Research Methods", Free Management Library Click
3. Saunders et al, Research Methods for Business Students, 3/e, Pearson Click
4. Jonathan Cowie, "e-Learning Business Research Methods", 10 pages pdf. Click
5. Electronic Resources for RM Click
6. Student-centred learning through learning exercises in RM Click
7. Linking research and teaching: A selected bibliography click and click
8. Why n-1 (rather than n) appears in the formula for the unbiased estimate of variance: 1 2 3 4 5 6
9. On spurious correlation: 1 2 3 4 5 6 7 8 9
10 Glossary of statistical terms: click.
11. RM knowledge base: click click.
12. Stat Primer: click.
13. Xycoon Scientific Resources: Click.
Suggested Student Presentations
Hypothesis: Ref: 1 2 3 4 5 6 7 8 9
Hypothesis Testing: Ref: 1 2 3 4 5 6 7 8 9 10 11
Properties of a good estimator: unbiased, efficient, sufficient, consistent. Ref: 1 2 3 4 5 6 7 8 9 10.
Sample Report (click)
Questionnaire Design (click) |
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