choose three questions total words is 4 pages so you can decide to write 400 words per question
SECTION B
Answer THREE questions only from this section
Word count for each question in section B- 100-500
QUESTION 5
Provide a definition for segmentation, discuss the main uses of segmentation and the
main criteria for actionable segmentation (briefly explain each one). (Word count: 100-
500 words)
(10 marks)
QUESTION 6
Describe the four types of attributes for data and provide an example for each one.
Discuss the properties of distinctness, order, difference and ratios for each type. (Word
count: 100-500 words)
(10 marks)
QUESTION 7
Discuss the overfitting and the multicollinearity issues in multiple regression and explain
what would an ideal situation be for a multiple regression model. What kind of prep-
work would you carry out to avoid multicollinearity? (Word count: 100-500 words)
(10 marks)
QUESTION 8
Describe the main features of a Normal Distribution and explain what the Central Limit
Theorem suggests. (Word count: 100-500 words)
(10 marks)
QUESTION 9
Provide a definition for marketing analytics and discuss the relationship between data,
information, and knowledge/decision in data-driven decision making. (Word count: 100-
500 words)
9
(10 marks)
Question 10
Explain the following text mining terms:
(Word count: 100-500
