quantitative and qualitative data

• What is quantitative data primarily concerned with?


  Data expressed in numbers
• What are some examples of quantitative data?

  Sales figures, government reports, and surveys using the Likert scale
• What is the Likert scale used for?

  To convert opinions into numbers
• What are the pros of using quantitative data?

  It is easier to gather, quicker to analyze, and allows for statistical analysis
• Why is quantitative data considered easier for decision-making?

  Because it is expressed in numbers, making it easier to analyze
• What is a con of using quantitative data?

  It tends to focus on narrow or closed questions
• What types of questions does quantitative data focus on?

  Who, what, and when
• What is qualitative data often expressed in?

  Words
• What are some methods to collect qualitative data?

  Interviews, focus groups, and observations
• What is a pro of qualitative data?

  It allows for in-depth analysis and understanding of issues
• Why is qualitative data considered harder to analyze?

  Because it consists of a lot of information that is difficult to interpret
• What is a con of qualitative data in business decision-making?

  It is harder to make decisions from due to its complexity
• What are the key differences between quantitative and qualitative data?

  • Quantitative Data:
  • Expressed in numbers
  • Examples: sales figures, surveys
  • Easier to gather and analyze
  • Focuses on who, what, when

  
  

  • Qualitative Data:
  • Expressed in words
  • Examples: interviews, focus groups
  • Provides in-depth insights
  • Focuses on how and why