Podcast
Questions and Answers
Which of the following is an example of a continuous quantitative variable?
Which of the following is an example of a continuous quantitative variable?
- Number of participants in a study
- Number of students in a classroom
- Height in centimeters (correct)
- Number of incorrect test answers
What distinguishes a nominal variable from an ordinal variable?
What distinguishes a nominal variable from an ordinal variable?
- Nominal variables have an implicit order.
- Ordinal variables can be classified into no categories.
- Ordinal variables have a defined order among categories. (correct)
- Nominal variables contain ordered categories.
Which of the following is NOT classified as a qualitative variable?
Which of the following is NOT classified as a qualitative variable?
- Temperature (correct)
- Social class
- Marital status
- Gender
Which statement accurately describes quantitative variables?
Which statement accurately describes quantitative variables?
Which of the following best represents a discrete variable?
Which of the following best represents a discrete variable?
A student’s score on a test is an example of which type of variable?
A student’s score on a test is an example of which type of variable?
Which category of variables is characterized by having categories with no possible intermediate levels?
Which category of variables is characterized by having categories with no possible intermediate levels?
What type of qualitative variable includes gender?
What type of qualitative variable includes gender?
Which of the following is an example of continuous data?
Which of the following is an example of continuous data?
What type of variable is 'Smoking status' classified as?
What type of variable is 'Smoking status' classified as?
Which interval corresponds to the age data provided in the example?
Which interval corresponds to the age data provided in the example?
Which variable type is 'Number of cars in car park' classified as?
Which variable type is 'Number of cars in car park' classified as?
In the context of types of variables, how is 'Time taken to complete a task' best classified?
In the context of types of variables, how is 'Time taken to complete a task' best classified?
Which of the following represents an ordinal variable?
Which of the following represents an ordinal variable?
Flashcards are hidden until you start studying
Study Notes
Overview of Variables
- Variables represent characteristics that differ among individuals in a population.
- Example of a variable: Height, which varies from person to person.
Types of Variables
- Quantitative Variables: Represent numerical data, can take any value and allow for mathematical operations.
- Qualitative Variables: Represent categorical data, fall into distinct categories with no intermediate values.
Quantitative Variables
- Can be further divided into:
- Discrete Variables: Countable values, no decimals (e.g., number of employees, incorrect answers on a test).
- Continuous Variables: Measurable values that can have decimal places (e.g., age, weight, income).
Qualitative Variables
- Also categorized into:
- Nominal Variables: Unordered categories (e.g., gender, marital status).
- Dichotomous: Two categories (e.g., male, female).
- Multichotomous: More than two categories.
- Ordinal Variables: Ordered categories (e.g., socio-economic class, satisfaction levels, birth order).
- Nominal Variables: Unordered categories (e.g., gender, marital status).
Data Collection Tools
- Examples of variables collected:
- Age in years
- Gender: Male or Female
- Social class: Low, Middle, High
- Height in centimeters
Data Reduction Techniques
- Organizing raw data for clarity:
- Raw age data for 47 individuals can be sorted and arranged into categories.
- Continuous Data: All ages listed.
- Interval Data: Age ranges (e.g., 20-29, 30-39).
- Ordinal Data: Grouped by decades (e.g., Twenties, Thirties).
- Nominal Data: Classified as Young or Old.
Example Variable Classification
- Determine variable types:
- Smoking status: Nominal
- Satisfaction level: Ordinal
- Blood glucose level: Continuous
- Type of exercise: Ordinal
- Number of cars: Discrete
- Number of children: Discrete
- Marital status: Nominal
- Weight: Continuous
- Time taken to complete a task: Continuous
Conclusion
- Variables form the foundation for research.
- Selecting relevant variables is essential for effective data collection, transformation, and presentation.
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.
