1. Differentiate
between ‘structured’ and ‘unstructured’ interviews.
2. In
developing and conducting a survey, what is meant by the term
‘pre-test’? Explain the purpose of the pre-test phase.
3. Explain
how to obtain a systematic random sample of size 100 from a
population with 5,000 items.
4. Differentiate
between ‘simple random’ sampling and ‘stratified random’ sampling
methods
5. List
and briefly discuss the advantages and disadvantages of open-ended
questions in either a written survey or a personal
interview.
6. Explain
the difference between stratified random...
(a) Using practical examples, differentiate between the
following commercial averages: (i) Moving Average
(ii) Progressive Average (iii) Composite Average
(b) Explain what you understand by a theoretical probability
distribution and how it is useful in business
decision-making?
(c) Explain the process of hypothesis testing, detailing
clearly under which condition the Normal distribution may be
used.
(d) Explain the difference between the following four
non-probability sampling methods: quota sampling, judgmental
sampling, snowball sampling and convenience sampling.
(e) Explain how the sampling...
Give examples of structured, semistructured and unstructured
decisions in business. Justify your examples by referring to
properties of these types of decisions. Then, identify what
information systems may be used to support different types of
decisions.
Describe structured, semi-structured, and
unstructured data, in a Big Data context.
Research one challenge to capturing and
storing each type of data, as well as strategies available to
manage the challenge.
Explain how query optimization supports data
structures.