6.3 Data Collection

• Data collection provides the raw data for making inferences
• Numerical data that can be measured or counted is called quantitative data.
• What is a potential disadvantage of surveys as a data collection method?

  Response bias
• Understanding the difference between qualitative and quantitative data is important for choosing the correct statistical methods.
• What is a potential disadvantage of interviews in data collection?

  Interviewer bias
• Charts are more precise than tables for displaying numerical values.

  False
• Data collection is not necessary for statistical analysis.

  False
• Match the data collection method with its advantage:

  Questionnaires ↔️ Efficient for large samples

  Surveys ↔️ Reaches a wider audience

  Experiments ↔️ Tests causal relationships

  Observations ↔️ Captures real-world behavior
• Steps in studying the effectiveness of a new tutoring method using an experiment:

  1️⃣ Conduct an experiment with two groups

  2️⃣ Compare student test scores

  3️⃣ Determine which method is more effective
• Data collection is only used to answer statistical questions.


  True
• Each data collection method has its benefits and drawbacks.
• A graph is most effective for showing relationships between variables.
• Charts use shapes and colors to highlight key insights
• Tables are limited in their ability to show trends and patterns
• Match the data collection method with its description:

  Questionnaires ↔️ Structured sets of questions

  Surveys ↔️ Similar to questionnaires but may include interviews
• Qualitative data describes qualities or characteristics
• Interviews provide detailed insights but may suffer from interviewer bias
• Which data representation technique is ideal for showing market share distribution?

  Charts
• What is a disadvantage of using questionnaires for data collection?

  May lack depth
• Qualitative data is numerical and can be measured directly.

  False
• Surveys may include interviews and are useful for collecting quantitative data, but they can be susceptible to response bias
• What is a disadvantage of using observations for data collection?

  May be influenced by observer presence
• What are the three criteria for evaluating data collection tools?

  Accuracy, efficiency, suitability
• Efficiency in data collection refers to the time and cost-effectiveness of the process.
• What is the most suitable data collection method for testing the effectiveness of a new teaching method?

  Experiment
• Graphs are ideal for showing trends and patterns over time.


  True
• What are the three main data representation techniques?

  Tables, graphs, and charts
• Graphs may not be suitable for displaying precise numerical values.

  True
• Data collection is the process of gathering information to test a hypothesis
• Observations may be influenced by the presence of the observer.


  True
• What are the two main types of data?

  Qualitative and quantitative
• Which data collection method is cost-effective and easy to standardize?

  Questionnaires
• Graphs are effective for visualizing correlations
• Data collection is a crucial step in statistical analysis because it provides the raw data for making inferences and decisions.


  True
• Data collection is a crucial step in statistical analysis because it provides the raw data needed to make inferences
• What is an advantage of using questionnaires for data collection?

  Efficient for large samples
• Experiments can sometimes be artificial and have limited real-world applicability.


  True
• To study the effectiveness of a new tutoring method, an experiment could compare test scores, which is a form of quantitative data.
• Why is accuracy critical for meaningful data analysis?

  Produces reliable and valid data
• If you need to gather quantitative data from a large group quickly, interviews are the most suitable method.

  False