Question 11 (Mandatory) (0.5 points)

Unsupervised Learning requires at least one target attribute but Supervised Learningdoes not.

Question 11 options:

	a-True
	b-False

Question 12 (Mandatory) (1 point)

Match each of the following two examples correctly as the example of Statistical Inference or Data Mining.

Question 12 options:

1.Statistical Inference

2.Data Mining

1 2	A recent clinical trial on a group of randomly selected patients shows that the newly developed medication can significantly reduce the level of depression.
1 2	A recent analysis of our last year marketing campaign data shows that people of age 50 or order more likely respond to our marketing mail.

Question 13 (Mandatory) (1 point)

Specifically to understand data mining in business perspective, which one of the following "Thinking"s is the MOST important one?

Question 13 options:

	a-Statistical Thinking
	b-Critical Thinking
	c-Process Thinking
	d-Creative Thinking

Question 14 (Mandatory) (2 points)

Which of the following are NOT what Data Mining (at least in this class) technically means?

Select 2 correct answer(s)

Question 14 options:

	a-SQL querying to selectively pull datasets out from a large database
	b-Data visualization using interactive software tools
	c-Data analysis based on scientific models
	d-Data reporting based on complex business rules

Question 15 (Mandatory) (1 point)

Match each of the four main characteristics of Big Data with its correct interpretation.

Question 15 options:

1. Volume

2. Variety

3. Velocity

4. Veracity

1 2 3 4	The (vast) amount of data
1 2 3 4	The fact that big data is observational in nature, not experimental.
1 2 3 4	The (numerous) different types of data being generated
1 2 3 4	The (fast) speed at which data is being generated and changed

Question 16 (Mandatory) (1 point)

Which of the following data relationships is an example of NON-TRIVIALrelationship of our interest in data mining?

Question 16 options:

	a-The relationship between response rate to marketing mail and education level
	b-The relationship between sales volume and number of sales persons
	c-The relationship between mortgage loan rate and fed interest rate

Question 17 (Mandatory) (1 point)

Which of the following analytical task can be really defined as data mining you will study in this class?

Question 17 options:

A)	Create a histogram of daily sales revenue of last year.

B)	Extract all the the purchasing data of male customers of age between 20 and 50 from a retail database.

C)	Calculate averages of sales revenue of this month and last month and compare the two average.

D)	Using FICO score as a predictor to build a logistic regression model to predict probability that a loan borrower defaults on the loan payment.

Question 18 (Mandatory) (0.5 points)

Statistical inference and machine learning together form the foundation of data mining.

Question 18 options:

	a-True
	b-False

Question 19 (Mandatory) (1 point)

Which of the following types of data information is equally valuable to support decision making at all management levels?

Question 19 options:

	a-Central tendency information
	b-Relationship information
	c-Distribution information
	d-Variation information