11- Phases in the data mining process includes Data preparation, Model building or pattern finding, and Validation of results.

a.

False

b.

True.

12- Qualitative research helps in Formulating the hypotheses through gathering detailed information on a project.

a.

False

b.

True

14- Data Analyst skills include statistics, R or Python, Database, Data extraction and creating of dashboards, Machine learning and data mining techniques, Creative thinking, Analytic problem solving, Knowledge of the applied business domain.

a.

True

b.

False

16- In logistic regression equation, when the independent variable coefficient factor = 0, means no relation between the independent and dependent variable and we can remove this variable form the study.

a.

True

b.

False

17- ML algorithms are: Supervised, unsupervised, and reinforcement (semi-supervised) learning.

a.

True

b.

False

18- The independent variables that much influence the customer choice of buying a product or not is that has the highest Coefficient factor.

a.

True

b.

False

19- Association is a supervised learning method that find relationships between variables.

a.

True

b.

False

20- BA does not identify weaknesses in existing procedures.

a.

False

b.

True

21- Interval Scale is Qualitative.

a.

False

b.

True

22- Logistic regression dependent variable is a continuous number.

a.

True

b.

False

23-Unsupervised learning is separated into two types: classification and regression. False Classification algorithms include decision trees, random forest, support vector machines, Bayesian, neural networks.

a.

False

b.

True

24- We can measure Qualitative data.

a.

True

b.

False

25-Abed salary is 3000 and Tony salary is 1000. So, ratios of salaries =3000/1000=3. Abed has salary 3 times more than Tony. It is a quantitative ratio scale.

a.

False

b.

True

26- Smallest negative value of the independent variable factor indicates customer choice is less to buy based on that independent variable. (T)

a.

True

b.

False

27- Nationality is (Nominal/Categorical).

a.

True

b.

False

28- Machine learning is a subset of Artificial Intelligence.

a.

True

b.

False

29- Suppose we want to predict the loan approval, the "dependent variable" is the loan approval based on "independent variables" like age, job status, own house, credit rating.

a.

True

b.

False

30- Assume there are 20 customers, 15 of them bought milk, 10 bought butter and 5 bought both of them. Association between Milk and Butter = 5/15=50%

a.

True

b.

False

31- Classification algorithms utilizes nominal, ordinal, and interval scales.

a.

False

b.

True

32- Association and Correlation models fall under machine learning.

a.

True

b.

False

33- Use SOLVER technique finds the best values of the Decision Variables (b1, b2, b3, .. bn, b0) that minimizes the value of likelihood to buy of the client.

a.

False

b.

True

35- Business Analyst must have skill in communicating, statistical tools, Programming, SQL, Dashboard, Data mining, analytic and creative thinking.

a.

False

b.

True

11- Phases in the data mining process includes Data preparation, Model building or pattern finding, and Validation of results.

a.

False

b.

True.

12- Qualitative research helps in Formulating the hypotheses through gathering detailed information on a project.

a.

False

b.

True

14- Data Analyst skills include statistics, R or Python, Database, Data extraction and creating of dashboards, Machine learning and data mining techniques, Creative thinking, Analytic problem solving, Knowledge of the applied business domain.

a.

True

b.

False

16- In logistic regression equation, when the independent variable coefficient factor = 0, means no relation between the independent and dependent variable and we can remove this variable form the study.

a.

True

b.

False

17- ML algorithms are: Supervised, unsupervised, and reinforcement (semi-supervised) learning.

a.

True

b.

False

18- The independent variables that much influence the customer choice of buying a product or not is that has the highest Coefficient factor.

a.

True

b.

False

19- Association is a supervised learning method that find relationships between variables.

a.

True

b.

False

20- BA does not identify weaknesses in existing procedures.

a.

False

b.

True

21- Interval Scale is Qualitative.

a.

False

b.

True

22- Logistic regression dependent variable is a continuous number.

a.

True

b.

False

23-Unsupervised learning is separated into two types: classification and regression. False Classification algorithms include decision trees, random forest, support vector machines, Bayesian, neural networks.

a.

False

b.

True

24- We can measure Qualitative data.

a.

True

b.

False

25-Abed salary is 3000 and Tony salary is 1000. So, ratios of salaries =3000/1000=3. Abed has salary 3 times more than Tony. It is a quantitative ratio scale.

a.

False

b.

True

26- Smallest negative value of the independent variable factor indicates customer choice is less to buy based on that independent variable. (T)

a.

True

b.

False

27- Nationality is (Nominal/Categorical).

a.

True

b.

False

28- Machine learning is a subset of Artificial Intelligence.

a.

True

b.

False

29- Suppose we want to predict the loan approval, the "dependent variable" is the loan approval based on "independent variables" like age, job status, own house, credit rating.

a.

True

b.

False

30- Assume there are 20 customers, 15 of them bought milk, 10 bought butter and 5 bought both of them. Association between Milk and Butter = 5/15=50%

a.

True

b.

False

31- Classification algorithms utilizes nominal, ordinal, and interval scales.

a.

False

b.

True

32- Association and Correlation models fall under machine learning.

a.

True

b.

False

33- Use SOLVER technique finds the best values of the Decision Variables (b1, b2, b3, .. bn, b0) that minimizes the value of likelihood to buy of the client.

a.

False

b.

True

35- Business Analyst must have skill in communicating, statistical tools, Programming, SQL, Dashboard, Data mining, analytic and creative thinking.

a.

False

b.

True