Qualitative vs Quantitative Data Concepts

The video by Surbhi on Key Differences explains the distinctions between qualitative and quantitative data. Qualitative data is based on attributes and characteristics, often expressed in words, and is used for open-ended studies. It includes nominal and ordinal data. Quantitative data, on the other hand, is numerical, can be counted or measured, and is used for statistical analysis. It includes discrete and continuous data. The video also compares these data types, discussing their research methodologies and applications. The video concludes with a call to action for viewers to subscribe and provide feedback.

What is the main focus of the video presented by Surbhi?

• The history of data collection methods

• The future of data analysis

• The similarities between different data types

• The differences between Qualitative and Quantitative Data

Which of the following is a characteristic of Qualitative Data?

• It is always collected through surveys

• It is used for statistical analysis

• It is based on observations and cannot be quantified

• It is always numerical

What are the two types of Qualitative Data mentioned?

• Quantified and Non-quantified

• Structured and Unstructured

• Nominal and Ordinal

• Discrete and Continuous

Which method is NOT used for collecting Qualitative Data?

• Focus group discussions

• Observations

• Interviews

• Experiments

What defines Quantitative Data?

• Data that is based on quality and characteristics

• Data that can be counted or measured

• Data that is always subjective

• Data that cannot be expressed in numbers

Which of the following is an example of Quantitative Data?

• Opinions and feelings

• Height and weight

• Taste of food

• Color of hair

What is the main difference in research methodology between Qualitative and Quantitative Data?

• Qualitative is exploratory, Quantitative is conclusive

• Qualitative is conclusive, Quantitative is exploratory

• Both are conclusive

• Both are exploratory

Which type of data is suitable for large scale studies and statistical analysis?

• Neither type of data

• Qualitative Data

• Quantitative Data

• Both types of data

Which of the following is NOT a characteristic of Qualitative Data?

• It is descriptive

• It is text-based

• It provides insights

• It is number-based

What is the purpose of the conclusion section in the video?

• To introduce new topics

• To summarize the lesson and encourage further exploration

• To provide detailed examples

• To discuss unrelated topics