3.1.2 Data Collection and Analysis

• Qualitative data provides numerical insights into the magnitudes of a phenomenon.

  False
• Quantitative data may miss important contextual details due to its focus on numerical measurements.
• If the goal is to measure the impact of a teaching method on test scores, a quantitative experiment would be more appropriate than qualitative interviews.
• What do quantitative data provide insights into?

  Quantities and magnitudes
• What are the two main types of data collection techniques in physics?

  Qualitative and quantitative
• What is the primary focus of qualitative methods in data collection?

  Characteristics and properties
• Match the characteristic with the correct type of data:

  Descriptive, non-numerical ↔️ Qualitative Data

  Numerical, measurable ↔️ Quantitative Data
• What is the key consideration when choosing data collection methods in physics?

  Alignment with research objectives
• What type of data provides insights into the characteristics and properties of a phenomenon?

  Qualitative data
• Qualitative data is descriptive and non-numerical
• Qualitative data provides insights into the characteristics and properties
• Qualitative research aims to understand experiences and perspectives
• What does an ammeter measure in a circuit?

  Electric current
• Why is accurate data recording in tables essential in physics experiments?

  Facilitates analysis
• Well-structured data tables facilitate the organization and analysis of information in physics experiments.
• Why is it important to record data to the correct number of significant figures in tables?

  Reflect precision
• Qualitative data provides rich, in-depth insights
• What type of data collection method is appropriate for understanding students' perceptions of a new teaching method?

  Qualitative
• A micrometer screw gauge measures extremely precise lengths
• A stopwatch is used to measure time
• When constructing data tables, rows are used for measurements
• What are the variables measured in the example data table?

  Time, displacement, acceleration
• What does the example line graph in the material show?

  Displacement vs time
• A linear increase in temperature over time is an example of a trend
• Match the scientific instrument with its purpose:

  Vernier Caliper ↔️ Measures precise lengths

  Micrometer Screw Gauge ↔️ Measures extremely precise lengths

  Thermometer ↔️ Measures temperature

  Stopwatch ↔️ Measures time intervals
• Data in tables should always be recorded to the correct number of significant figures.
• Properly formatting data tables ensures experimental results are clear, organized, and ready for further analysis
• Data tables must include the appropriate units
• What type of data is measured statistically to investigate quantities and magnitudes?

  Quantitative data
• Quantitative data is numerical and measurable.
• How is a vernier caliper used to measure length?

  Position object between jaws
• How is a voltmeter connected in a circuit to measure voltage?

  In parallel
• Recording data to the correct number of significant figures avoids overstating the accuracy of the data.
• Significant figures in data reflect the precision of the measurements
• Graphs must be properly labeled with a title, axis labels, and units
• Steps to analyze data for trends and patterns:

  1️⃣ Identify trends in the data

  2️⃣ Analyze relationships between variables

  3️⃣ Create graphs and visualizations
• Visualizing data can help identify outliers and nonlinear relationships
• Random errors can be reduced by taking multiple measurements
• Relative uncertainty is calculated as the absolute uncertainty divided by the average
• How are systematic errors detected?

  Calibration and comparison