# RESEARCH METHODOLOGY

## METHODS OF DATA ANALYSIS

### STATISTICAL TOOLS AND TECHNIQUES OF DATA ANALYSIS

 Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
One of the most important contributions of statistics is an inconsistent and imprecise vocabulary for describing the relationship between observations and conclusions.
 A TRUE B FALSE C Either A or B D None of the above
Explanation:

Detailed explanation-1: -Statistics is an important field because it helps us understand the general trends and patterns in a given data set. Statistics can be used for analysing data and drawing conclusions from it. It can also be used for making predictions about future events and behaviours.

Detailed explanation-2: -Statistics help Data Scientists spot trends early in their study, and they can then focus their area of research properly. Data Analytics and Machine Learning are based on the knowledge of logistic regression, cross-validation, and other such algorithms that help the machine predict your next step.

Detailed explanation-3: -Applications to real data sets motivate the statistical techniques that we describe throughout the text. Real data often do not follow regular patterns or match standard equations. The interesting variation in real data can be lost by focusing too much attention on simplistic summaries such as average values.

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