Question

Which of the following is NOT considered a descriptive analysis technique? a. Data fusion b. Data harmonization c. Neural networks d. Visualization e. Data mining

Answer 1

Answer:

c. Neural networks

Explanation:

While other options are considered as descriptive analysis techniques, neural network is a type of inferential statistics.

While descriptive statistics only describes data by using a chart or graph, and inferential statistics assist in drawing inferences or making predictions from data.

A neural network refers to a series of algorithms which studies the types of relationships, either positive or negative, that exist between a set of data via process that copies method of operation of human brain. Neural network can assist in inferring the effect that a change a set of data A, independent variable, will have on the a set of data B, dependent variable.

The idea of neural network comes from artificial intelligence and it helps in generating the best results that is obtainable without changing the criteria of the output.

Answer 2

Answer:

The correct answer is letter "C": Neural networks.

Explanation:

While conducting marketing research, descriptive analysis aims to improve the understanding of the data available so the study can be carried out better and the business performance can be boosted. Its counterparts are predictive analysis and prescriptive analysis.

Descriptive analysis relies on techniques such as data mining, data fusion, data harmonization, and visualization. Neural networks is not a descriptive analysis technique.