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Questions and Answers

What type of qualitative variable is represented by marital status?

  • Continuous
  • Quantitative
  • Nominal (correct)
  • Ordinal
  • Which of the following is NOT an example of a nominal variable?

  • Sex
  • Socioeconomic status (correct)
  • Blood groups
  • Religion
  • Which statement correctly describes quantitative variables?

  • They only consider nominal data.
  • They categorize information without a numerical basis.
  • They allow for rank ordering of categories.
  • They are always expressed in terms of numbers. (correct)
  • What is the purpose of conducting surveys in medical statistics?

    <p>To collect data from a representative sample.</p> Signup and view all the answers

    Which type of survey collects data from every member of a community?

    <p>Comprehensive survey</p> Signup and view all the answers

    Which of the following methods does NOT represent a way to collect data?

    <p>Random guessing</p> Signup and view all the answers

    What characteristic defines ordinal variables unlike nominal variables?

    <p>They can be ranked in a specific order.</p> Signup and view all the answers

    What is the main goal of data collection in medical statistics?

    <p>To gather and measure information systematically.</p> Signup and view all the answers

    What is the primary focus of medical statistics?

    <p>Analyzing and interpreting data</p> Signup and view all the answers

    Which of the following describes discrete quantitative variables?

    <p>Values take the form of integer figures</p> Signup and view all the answers

    What method is NOT commonly used in medical statistics?

    <p>Data ignoring</p> Signup and view all the answers

    Which of the following is an example of a continuous quantitative variable?

    <p>Weight of a patient</p> Signup and view all the answers

    Which function of medical statistics pertains to assessing health programs?

    <p>Evaluation of health programs</p> Signup and view all the answers

    What is a characteristic of qualitative data?

    <p>It captures categorical attributes</p> Signup and view all the answers

    What type of variable is represented by the number of chromosomes?

    <p>Discrete quantitative variable</p> Signup and view all the answers

    What does medical statistics NOT commonly analyze?

    <p>Personal patient preferences</p> Signup and view all the answers

    Study Notes

    Medical Statistics

    • Medical statistics is the science of collecting, presenting, analyzing, and interpreting data in medical practice to understand associations and test hypotheses.
    • Key aims of this field include presenting data in a clear manner, comparing health statuses in different areas and times, diagnosing community health issues, and evaluating medical programs.

    Definition of Data

    • Data is a collection of values of one or more variables collected from observational units or a numerical description of quantitative or qualitative aspects.
    • Variables are values that can change from one person to another. Constants stay the same. For instance, the number of chromosomes is constant, whereas height is a variable.

    Types of Data

    • Quantitative Data:

      • Continuous: Can take any value within a range, including fractions. Examples: height, blood pressure, cholesterol levels.
      • Discrete/Discontinuous: Can only take specific numerical values, usually whole numbers. Examples: number of blood cells, hospital beds, or quiz scores.
    • Qualitative Data:

      • Nominal: Categories cannot be ordered. Examples: blood types (A, B, AB, O), sex (male, female), colors.
      • Ordinal: Categories can be ordered. Examples: levels of agreement (strongly agree, agree, neutral, disagree, strongly disagree), pain levels (mild, moderate, severe).

    Methods of Data Collection

    • Historical records: Use of censuses, vital statistics, epidemiological records, and scientific journals/textbooks.
    • Experiments: Controlled procedures to test specific hypotheses.
    • Surveys: Collecting data from a sample or all members in a community.
      • Comprehensive Surveys: Collecting data from every member in the community. Useful in small communities like schools, villages, or factories.
      • Sample Surveys: Collecting data from a representative sample of the population to generalize the results to the whole population.

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