In the quest to promote good statistical practice, Society
of Applied Statistics of Maseno University (SASMU) organised a statistics boot
camp last week. Among the invited guests was African Maths Initiative (AMI),
together with Perfect Research, Kenya Forestry Research Institute, Nyanza
Reproductive Organization and many others. The boot camp was a three-day event
covering different aspects of statistics (data analysis, data cleaning,
statistical packages, data collection) that are vital in learning,
understanding and practising statistics. Other invited guests were practising statisticians
and data analysts and hence gave the students a glimpse of what happens in the
real world and encouraged them to take statistics seriously. One of the key
messages was that data has become the new soil of modern society. Statistics is
in every field. This means statisticians will never lack opportunities to play
an active role in society by practicing their art.
During the first day, AMI had two sessions. One in
mid-morning and another in the afternoon. During the first session, Maxwell
Fundi gave a presentation about AMI, including an overview of the initiatives
AMI is carrying. John Lunalo then introduced the African Data Initiative(ADI) by
showing and commenting the campaign video, and facilitating a lively questions
and answers session about the project.
In the afternoon, a demonstration of R-Instat was
given. The ADI team started by illustrating
the worryingly low statistical literacy of African graduates by the use of a
case study conducted in the African Institute of Mathematical Science (AIMS
Tz). This institution admits very bright students across Africa with backgrounds
in mathematics and statistics. The data showed how many statistics courses AIMS
students had taken during their undergraduate studies, if they used datasets,
and if they had used a statistics package. Despite the fact most students had
taken numerous statistics courses, very few had worked with data or even
statistics package. The point being that an open-source software like R-Instat
is aiming to fill in such gaps in the statistical empowerment of countries in
Africa and worldwide.
The actual demonstration of R-Instat was then performed. Students
were guided through different menus and functionalities of the software.
Specific tasks such as loading data, dealing with dates and organising data
using right clicks on the grid were extensively illustrated. The description
capabilities of the software were showed as well, including summaries and
graphics production using ggplot2 R package. A last comment about the
translation was made.
On the second day, the AMI team offered a session on
research methods which was led by Mike and Laetitia. During this session, the
attendees were grouped and given datasets to look at. Different types of
research questions, and ways to use data to drive answers were discussed. A few
groups tried to use R-Instat. The whole team was supporting the students in
different aspects including installing R-instat on some machines, commenting on
the data analysis and providing general advice. Students showed quick
understanding of how to use stats packages and achieved to produce more or less
extensive analysis of their data in a rather short period of time. We also
supported SPSS and Stata sessions in the afternoon.
On the final day, the groups presented their work and were provided
with questions to stimulate their thinking and feedback to improve their presentations
and statistical practices. After an interesting presentation of Perfect
Research, consultants in Statistical analysis, the country coordinator for the
new upcoming group called the Kenya Young Statisticians presented its project
to the audience. She emphasised the benefits of initiatives like SAMSUS, in
reflexion with the aims of her own organisation. Finally ADI summarized the
different steps in data collection, management and treatment covered during the
boot camp. The team members shared their work experience with the students and
encouraged volunteering work to acquire experience and opportunities in fields
of interest.
