An anlysis that determines the cause and effect relationship between the variables.

• causal

• descriptive

• predictive

• inferential

The type of analysis in research that helps to test theories of different subjects based on the sample taken from the group of subjects.

• exploratory

• descriptive

• causal

• inferential

The exploratory data analysis is used to

• discover new connections

• for defining future studies

• answering the questions pertaining to future studies

• all of the above

It describes the main features of the collection of data, quantitatively

• Exploratory Data Analysis

• Descriptive data analysis

• Predictive data analysis

• none of the above

It involves employing methods which analyze the current trends along with the historical facts to arrive at a conclusion that makes predictions about the future trends of future events.

• Inferential data analysis

• Decision trees

• Predictive data analysis

• Mechanistic data analysis

The primary idea behind this data analysis is to understand the nature of exact changes in variables that affect other variables.

• Mechanistic data analysis

• Evolutionary programming

• Decision trees

• Inferential data analysis

It is a tree-shaped diagram of a figure that provides information about regression models or classification.

• Mechanistic data analysis

• Decision trees

• Evolutionary programming

• Inferential data analysis

It combines different types of analysis in research using evolutionary algorithms to form meaningful data and is a very common concept in data mining.

• Inferential data analysis

• Decision trees

• Mechanistic data analysis

• Evolutionary programming

It is a very important tool to arrive at a particular conclusion.

• data summary

• data mining

• data collection

• data analysis

The two types of descriptive data analysis are

• univariate & bivariate

• bivariate & multivariate; univariate

• multivariate & univariate

• bivariate & multivariate