Choose THREE questions . Total words is 4 pages. So you can decide to write 400 words per question

Question Description

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)

(10 marks)

Question 10

Explain the following text mining terms:

Corpus

Document

Stemming

Stopwords

Sentiment analysis

(Word count: 100-500

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