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Questions and Answers
Which of the following is an example of discrete data?
Which of the following is an example of discrete data?
What characteristic distinguishes continuous data from discrete data?
What characteristic distinguishes continuous data from discrete data?
Which type of data is used to label variables without providing a quantitative value?
Which type of data is used to label variables without providing a quantitative value?
When is data considered ordinal?
When is data considered ordinal?
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Which of the following statements about discrete data is FALSE?
Which of the following statements about discrete data is FALSE?
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Which of the following is NOT a feature of continuous data?
Which of the following is NOT a feature of continuous data?
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What would be an example of continuous data?
What would be an example of continuous data?
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Which of the following pairs represent qualitative data types?
Which of the following pairs represent qualitative data types?
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What is one of the main purposes of statistics in health sciences?
What is one of the main purposes of statistics in health sciences?
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Which of the following best describes continuous data?
Which of the following best describes continuous data?
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What type of variable would 'blood sugar level' be classified as in a statistical experiment?
What type of variable would 'blood sugar level' be classified as in a statistical experiment?
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Which of the following is NOT a basic terminology in statistics?
Which of the following is NOT a basic terminology in statistics?
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Which of the following statements about qualitative data is true?
Which of the following statements about qualitative data is true?
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What is considered as raw information collected for analysis in statistics?
What is considered as raw information collected for analysis in statistics?
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Which statement best reflects the role of descriptive statistics?
Which statement best reflects the role of descriptive statistics?
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Discrete data can be defined as:
Discrete data can be defined as:
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Study Notes
Statistics in Health Sciences
- Statistics is the science of collecting, describing, analyzing, interpreting data, and drawing conclusions for decision-making.
- In health sciences, statistics focuses on collecting, analyzing, presenting, and interpreting health-related data to make informed decisions.
Data Types
- Data: Raw information and facts collected for analysis, categorized as qualitative or quantitative.
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Quantitative Data: Numerical data (counts, numbers, measurements).
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Discrete/Categorical Data: Distinct, separate whole numbers (e.g., number of patients, test scores). Cannot have decimal points.
- Examples: Number of students in a class, number of hospitalizations, shoe sizes.
- Medical Examples: Number of needle punctures, number of pregnancies.
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Levels of Measurement:
- Nominal: Labels variables without quantitative value (e.g., gender, ethnicity).
- Ordinal: Variables in naturally ordered categories (e.g., ranking, rating scales).
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Continuous Data: Values that can be subdivided into smaller pieces; measurable with infinitely many possible values (e.g., height, weight, time).
- Examples: Height of children, blood pressure, cholesterol level.
- Medical Examples: Body mass index, temperature, time to complete a procedure.
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Discrete/Categorical Data: Distinct, separate whole numbers (e.g., number of patients, test scores). Cannot have decimal points.
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Qualitative Data: Non-numerical, descriptive data.
- Examples: Team colors, patient symptoms.
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Levels of Measurement:
- Nominal: Labels variables without quantitative value (e.g., gender).
- Ordinal: Variables in naturally ordered categories (e.g., ranking, rating scale).
Variables
- Independent Variable: Controlled variable (e.g., type of diet).
- Dependent Variable: Measured or tested variable (e.g., blood sugar level, test scores).
Basic Statistical Terms
- Parameters: Numerical descriptions of populations.
- Statistics: Numerical descriptions of samples.
- Parametric Statistics: Statistical methods used with normally distributed data, usually continuous.
- Non-parametric Statistics: Statistical methods used with non-normally distributed data, especially categorical or ordinal.
- Descriptive Statistics: Summarizing and describing data.
- Inferential Statistics: Making inferences or predictions about populations based on samples.
Statistical Analysis Goes Beyond Data Analysis
- Statistical analysis provides insights and guides decisions beyond just describing data.
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Description
This quiz covers the essential role of statistics in the health sciences, focusing on the types and levels of data utilized for decision-making. Explore the differences between qualitative and quantitative data, including discrete and categorical data examples relevant to the medical field.
