30 July 2015
Topic: Statistics tuition for undergraduate students
Private tutors like myself who teach undergraduate students often encounter students who need help understanding basic statistical concepts.
The students I tutor often need help in understanding concepts such as discrete versus continuous probability distributions, the use of Normal (Gaussian) and t-distribution tables, the construction of confidence intervals and hypothesis testing. Many of these students have either not encountered these topics in Secondary School or in Polytechnic, or are out of touch with them.
Even “A” level students sometimes find difficulty in the above topics because the “A” level syllabus does not cover certain topics with sufficient depth.
To be an effective tutor for undergraduate statistics, one must be able to explain complex statistical concepts in an easy-to-understand fashion. The usage of carefully drawn diagrams, such as the critical regions of the standard normal distribution, is also important.
Examinations set at the beginning undergraduate level (year one and year two) generally do not delve too deep into the theoretical areas. They generally test computation techniques, and ask the student to explain concepts such as “significance level” or “confidence interval” using elementary terms.
A good statistics tutor must be able to prepare the student to tackle such questions in the most efficient way possible. The tutor must also teach the student how to present his or her answers in a concise yet comprehensive manner, using suitably drawn diagrams such as decision trees, probability trees, and critical regions.