Introduction
Statistics is a branch of mathematics that deals with the collection, analysis, interpretation, presentation, and organization of data. It involves using mathematical models and techniques to gather insights and make informed decisions based on data.

Quantitative Data
Quantitative data is numerical data that can be measured and expressed using numbers. It deals with quantities, amounts, or sizes, and can be further divided into discrete and continuous data. Discrete data represents distinct values, such as the number of students in a class, while continuous data represents a range of values, such as the weight or height of individuals.

Statistics plays a crucial role in analyzing quantitative data by applying various statistical techniques such as measures of central tendency, measures of dispersion, probability distributions, hypothesis testing, regression analysis, and more. These techniques help in summarizing and interpreting the data, identifying patterns, making predictions, and drawing conclusions.

Qualitative Data
Qualitative data, on the other hand, deals with non-numerical data that cannot be easily measured or expressed using numbers. It includes information that is descriptive or categorical in nature, such as opinions, preferences, observations, or characteristics. Examples of qualitative data include survey responses, interview transcripts, observations, and open-ended questions.

While statistics primarily focuses on quantitative data, it can also be used to analyze qualitative data through qualitative data analysis techniques such as content analysis, thematic analysis, and grounded theory. These techniques involve coding and categorizing qualitative data to identify common themes, patterns, and relationships.

The Correct Answer
The correct answer to the question is option B, which states that statistics is the science of analyzing quantitative data. This is because statistics primarily deals with numerical data and provides a wide range of tools and techniques specifically designed to analyze and interpret quantitative data accurately.

While statistics can also be applied to qualitative data to some extent, it is not its primary focus. Qualitative data analysis requires different methods and approaches that are more specific to understanding and interpreting non-numerical data.

In conclusion, statistics is mainly concerned with the analysis of quantitative data, using mathematical models and techniques to extract meaningful insights and make informed decisions. While it can also be applied to qualitative data to some extent, statistics primarily focuses on the analysis of numerical data.