4.1.1 Quantitative data

• Qualitative data provides numerical insights into a subject.

  False
• Heart rate is a numerical measurement of the number of times the heart beats per minute
• What is quantitative data expressed as?

  Numbers, percentages, graphs
• What is an example of quantitative data in sports?

  Heart rate
• Match the type of quantitative data with its definition:

  Discrete data ↔️ Data that can only take specific values

  Continuous data ↔️ Data that can take any value within a range
• The key difference between discrete and continuous data is that discrete data is limited to specific values
• Quantitative data provides non-numerical insights into a subject.

  False
• What is an example of continuous data in sports?

  Height
• Quantitative data has two main types: discrete data and continuous
• Give an example of discrete data in sports.

  Number of goals scored
• Give an example of continuous data in sports.

  Height of a basketball player
• What does heart rate measure in sports?

  Number of heartbeats per minute
• What does vertical jump height measure in sports?

  Maximum jump height
• What is an example of continuous data in PE?

  Weight of a player
• Descriptive statistics summarizes data using measures like mean, median, mode, and standard deviation
• Match the type of data with its example:

  Quantitative data ↔️ Height of a player

  Qualitative data ↔️ Player feedback
• Numerical data that can be statistically analyzed is called quantitative
• Why is quantitative data crucial in sports performance evaluation?

  Statistical analysis
• Quantitative data is often contrasted with qualitative
• Discrete data can take on any value within a range.

  False
• What is an example of continuous data in sports?

  Running speed
• What is an example of qualitative data in sports?

  Player feedback
• The number of goals scored in a soccer match is an example of discrete
• What type of data provides non-numerical insights into the quality and characteristics of a subject?

  Qualitative data
• Discrete data can only take on specific values, typically whole numbers.


  True
• Continuous data can take on any value within a range, often involving measurements.


  True
• Quantitative data can be analyzed using statistical methods
• Qualitative data provides insights into numerical values, while quantitative data provides non-numerical insights.

  False
• Discrete data can only take on certain values
• Discrete data can vary infinitely within a given range.

  False
• What is the purpose of inferential statistics?

  Make inferences about a population
• What type of data provides non-numerical insights like descriptions and opinions?

  Qualitative data
• Qualitative data includes player feedback, coach’s observations, and team culture.


  True
• Match the quantitative data examples with their definitions:

  Heart rate ↔️ Number of heart beats per minute

  Running speed ↔️ Velocity at which a person runs

  Vertical jump height ↔️ Maximum height jumped vertically
• What are the two main types of quantitative data?

  Discrete and continuous
• In PE, heart rate is an example of quantitative data.
• Continuous data can only take on whole number values.

  False
• What are the two main approaches to analyzing quantitative data?

  Descriptive and inferential
• Inferential statistics can generalize results from a sample to a larger population.


  True
• What is an example of discrete data in sports?

  Number of goals scored