Bachelor of Science Honours in Mathematical Statistics

Assessment Criteria:

1. Using critical thinking to identify and solve statistical problems:

   • The learner should demonstrate the ability to analyze and interpret data critically.
   • The learner should be able to identify statistical problems within a given dataset and propose solutions.

2. Using the correct statistical procedures:

   • The learner should apply the appropriate statistical techniques to analyze data effectively.
   • The learner should demonstrate an understanding of various statistical procedures and when to use them.

3. Being familiar with the ethics and procedures of research methodology:

   • The learner should adhere to ethical standards in conducting research and handling data.
   • The learner should demonstrate knowledge of research methodologies and procedures.

4. Communicating effectively the results of his/her research:

   • The learner should be able to clearly and effectively communicate the results of their research, both in written and oral form.
   • The learner should present findings in a logical and coherent manner.

Formative Assessment:

• Background knowledge evaluation: Assessing the learner's prior knowledge and understanding of statistical concepts.
• Knowledge of relevant computer packages: Evaluating the learner's proficiency in using statistical software for analysis.
• Ability to write reports: Assessing the learner's skills in writing clear and concise research reports.

Summative Assessment:

• Assignments: Assessing the learner's ability to apply statistical concepts to solve problems.
• Projects: Evaluating the learner's capability to conduct research and present findings.
• Examinations: Testing the learner's overall understanding of statistical procedures and methodologies.