STATISTICS SHORT COURSES FROM 17th AUGUST 2020 UP 21ST AUGUST 2020 TO BE HELD IN SUALISA CONFERENCE ROOM AT iAGRI BUILDING-SUA MAIN CAMPUS

Sokoine University of Agriculture Laboratory for Interdisciplinary Statistical Analysis (SUALISA) is wishing the SUA community  a prosperous and happy commencement of the academic year 2020/2021 after a tough a long fight against COVID -19 Pandemic.  SUALISA is also announcing that its offices will be full operational from the next month as it expects to receive a couple of statisticians from other universities, some as volunteers and others as field students. You are warmly welcomed.

At the same time SUALISA is announcing  short courses to be held at SUALISA conference room between 9am and 3pm each day from 17th  August  up to 21st August 2020

Registration for the short course
The registration fee is 30,000/=Tshs, per a day/course. Registration would be made upon your arrival in a venue at iAGRI building. Contact   Maria Celestine via the following address to confirm your participation. 

Email:   mary.b.celestine@gmail.com
Mobile: 0713-301033

Who should attend? Any scholar/researcher such as a  postgraduate student /instructor/production manager/an enterpreneur/lab technician   e.t.c  is highly encouraged to attend. You are all welcomed to attend.
How you will benefit from the course(s): Each course will provide participants with practical skills to be able to effectively implement a real-life related problem needing statistical skills application.

Absract
Establishing causation has been a key research motive for most scientists. While it might be easy to establish causation in natural science, in social science it is quite very hard. Srictly speacking for event A to cause event B, three conditions need to be fulfilled.

First, event A must have occurred before event B(of-course be aware of posthoc fallacy), second event A must associate with event B. Third the asosociation between A and B must prevail even after other factors are considered. Unfortunately most researchers in social science normally establish condtion 2 and forget/becomes unware of conditions 1 and 3.

On contray the said condtions can easily be established in natural science through experimental designs which can rarely be  realized  in social science. In view of such scenarios, Statistical methods for Impact Ealuation which usually seek for an evidence of causation have been developed and motivated by research and development  organizations such as the World Bank.

Please come and learn/ discuss such interesting issues in Statistics. Along with Statistical Methods for Impact Evaluation , other Statistics shall be discussed such as Multiple Linear Regression, Binary, logistics regessions and Principal component Analysis with its practical applications.

You are warmly welcomed !

TIMETABLE

Date

Time

Session

Trainer

17/8/2020

9am   to 10am

Introduction to SPSS

Dr.Kazuzuru

 

10am to 12am

Introduction to STATA

Dr.Kazuzuru

 

12pm to 1pm

Lunch Break

All

 

1pm   to 2pm

Introduction to Chi-square Test, Correlation and Partial correlations

Dr. Kazuzuru

 

2pm   to  3pm

TTest,  ANOVA and Rank based tests using SPSS and STATA

 

18/08/2020

9am to  10am

TTest,  ANOVA and Rank based tests using SPSS and STATA

Dr.Kazuzuru

 

10am to  12pm

Introduction to Multiple Linear Regression uing SPPS & STATA

Dr.Kazuzuru

 

12pm-1pm

Lunch Break

All

 

1pm to 3pm

Inroduction to Binary logistic and probit regressions using SPSS & STATA

Dr.Kazuzuru

19/08/2020

9am-10am

Introduction to Impact Evalation

Dr.Kazuzuru

 

10am-12pm

Introduction to RCT as a method of Impat Evalution

Dr.Kazuzuru

 

12pm-1pm

Lunch break

All                    

 

1pm-  3pm

Introduction to difference in difference Methods

Dr.Kazuzuru

20/08/2020

9am-10am

Itroduction to propensity score matching

Dr.Kazuzuru

 

10am-12pm

Itroduction to propensity score matching

Dr.Kazuzuru

 

12am-1pm

Lunch break

All      

 

1pm- 3pm

Introduction to principle component Analysis

Dr.Kazuzuru

21/08/2020

9am-10am

Application of principal Component Analysis to wealth Ranking

Dr.Kazuzuru

 

10am-12pm

Application of Principal Component Analysis to wealth Ranking

Dr.Kazuzuru

 

12pm -1pm

Lunch break

All

 

1pm  - 3pm

Application of Principal Component Analysis in addressing multicolineariaty problem in Regression Analysis

Dr.Kazuzuru


 

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