IDR3123: Statistics

Welcome Message

Dear Students,

You are welcome to the module IDR3123 Statistics

 

Aim of the module

This module teaches the Statistics and Introduction to research methodology. At the end of this module students would have clear understanding of statistics and research methodology and their applications in research and other domains of agriculture.

 

Module outline

 Module is comprised of two components as follows:

 1. Introduction to research methodology (5 Credits)

 2. Applied statistics  (5 Credits)

 

The module will offer a clear understanding and application of Statistics and Introduction to research methodology.

 

Assessment methods

The main principles underlying assessment are that understanding, interpretation and application are the crucial issues.  The assessment will be through

• Continuous Assessment Test (CAT)  and Assignments,
• Practical exercises,
• Debates,
• Seminar,
• Group discussion.
• Viva voce
• Final written examination

Basically, assessment will balance the different aspects of knowledge, skills and attitude through above mentioned points.

 

Learning outcomes

A.    Knowledge and understanding

Having successfully completed the module, students should be able to demonstrate knowledge and understanding of:

A1. Descriptive and inferential statistics.

A2. The probabilities applied to Hydrology, irrigation structure designs and Irrigation water management.

A3. The Discrete random variables: Estimation random variables.

A4. The linear and logistic regression.

   B.   Cognitive/intellectual skills/application of knowledge

Having successfully completed the module, students should be able to:

B1. Apply descriptive and inference statistical in the economic and management context

      B2. Use the statistics in the random research and analyze of quantitative data.

C.  Communication/ict/numeracy/analytic techniques/practical skills

Having successfully completed the module, students should be able to:

C1. Analyze and interpret the quantitative and qualitative data.

C2. Formulate hypotheses and its verification in the economic and management context.

C3. Calculate simple and multiple regressions in the context of research.

    D   General transferable  skills

Having successfully completed the module, students should be able to:

D1. Use statistics in the every days life.

D2. Calculate different descriptive and inference statistics in the economics and management context.

D3. Verify hypothesis in the research by calculating different statistics.

 

Facilitators

Mr. Ruhumuliza Joseph – Introduction to research methodology

Email E-mail: ruhumulizason@yahoo.co.uk    Mobile: +250-0788569467

Mr. Niyigena Jean de Dieu - Applied statistics

 Email: jniyigena@aims.ac.tz   Mobile: +250-786258252

 

References

-       N. LARSEN and M. MARX (1986). An Introduction to Mathematical Statistics and Its Applications. Second Edition. Prentice-Hall, Englewood Cliffs, New Jersey, page 295.

-       W. PEARSON (1998), “Empirical statistical estimates for sequence similarity searches.” J. Mol. Biol. 276:71-84.

-       W. DAVID (1998), Introductory statistics: Concepts, models and application. Missouri University.

-       HARRISON A. (2000), Introduction to statistics. Cameron.

-       DAVIES G. R. & YODER D. (1937), Business statistics. New York: John Willey.

-       LIKERT R. (1932), A Technique for the measurement of attitudes. Archives of psychology. N0. 140.

-       Anirban DasGupta, (2010). Fundamentals of Probability: A First Course. Springer.

-       Douglas C. Montgomery and George C. Runger, (2003). Applied Statistics and Probability for Engineers. John Wiley & Son.

-       George Casella and Roger L. Berger, (2002). Statistical Inference 2^nd Edition. Duxbury.

-       Hwei Hsu, (1997). Probability, Random Variables and Random Processes.  Schaum´s Outline Series.

-       Ilja N. Bronshtein, Konstantin A. Semendyayev, Gerhard Musiol and Heiner Muehlig, (2004). Handbook of Mathematics 4^th Edition (Chapter 16). Springer-Verlag.

-       Merran Evans, Nicholas Hastings, Brian Peacock. Statistical Distributions 3^rd Edition. John Wiley & Sons.

-       Mood A. M., (1974). Introduction to the Theory of Statistics. Mc Graw Hill.

-       Murray R. Spiegel, John Schiller and R. Alu Srinivasan, (2001). Probability and Statistics. Schaum´s Easy Outline.

-       Murray R. Spiegel and Larry J. Stephens, (2008). Statistics 4^th Edition. Schaum´s Outline Series.

-       Murray R. Spiegel, John Schiller and R. Alu Srinivasan, (2009). Probability and Statistics 3^rd Edition. Schaum´s Outline Series.

-       Norman L. Johnson, Samuel Kotz and Adrienne W. Kemp, (1992). Univariate Discrete Distributions 2^nd Edition. John Wiley & Son.

-       Norman L. Johnson, Samuel Kotz and N. Balakrishnan. Continuous Univariate Distributions Vol. 1.

-       Norman L. Johnson, Samuel Kotz and N. Balakrishnan, (1995). Continuous Univariate Distributions Vol. 2. John Wiley & Son.

-       Poduri S.R.S. Rao, (2000). Sampling Methodologies with Applications. Chapman & Hall.

-       Sampath S., (2001). Sampling Theory and Methods. Norosa Publishing House, New Delhi.

-       Stephen Bernstein and Ruth Bernstein, (1999). Elements of Statistics I. Descriptive Statistics and Probability. Schaum´s Outline Series.

-       Stephen Bernstein and Ruth Bernstein, (1999). Elements of Statistics II. Inferential Statistics. Schaum´s Outline Series.

-       William G. Cochran, (1977). Sampling Techniques. John Wiley & Sons.

-       William W. Hines, Douglas C. Montgomery, David M. Goldsman and Connie M.

-       Borror, (2003). Probability and Statistics in Engineering. John Wiley & Son.

Websites for further reference

CAVM, Busogo and Nyagatare library collections