Basic Statistics Quiz
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Questions and Answers

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

  • Temperature (correct)
  • Civil Status
  • Gender
  • Job
  • What characterizes a nominal scale of measurement?

  • Requires numerical values for analysis
  • Indicates order and magnitude
  • Classifies elements into categories without order (correct)
  • Measures differences with equal intervals
  • In the profile of patients in ABC Hospital, which variable is qualitative?

  • Weight
  • Gender (correct)
  • Age
  • Height
  • The ages of patients listed in the hospital profile can best be described as which type of variable?

    <p>Continuous variable</p> Signup and view all the answers

    Which scale of measurement requires equal intervals and an absolute zero point?

    <p>Ratio scale</p> Signup and view all the answers

    What is the primary focus of descriptive statistics?

    <p>Collecting and presenting data</p> Signup and view all the answers

    Which of the following is an example of inferential statistics?

    <p>Conducting a T-test to compare two groups</p> Signup and view all the answers

    What distinguishes a sample from a population?

    <p>A sample is always smaller than a population.</p> Signup and view all the answers

    Which of the following best describes categorical variables?

    <p>Variables classified according to attributes or categories</p> Signup and view all the answers

    What type of variable is 'income' considered in statistics?

    <p>Numerical-valued variable</p> Signup and view all the answers

    Which of these examples represents discrete variables?

    <p>Number of students in a class</p> Signup and view all the answers

    What type of scale is used to rank individuals in terms of competition placement?

    <p>Ordinal Scale</p> Signup and view all the answers

    What statistical method would you use to analyze variance among multiple groups?

    <p>Analysis of Variance (ANOVA)</p> Signup and view all the answers

    Which statement best describes inferential statistics?

    <p>It makes predictions based on sample data.</p> Signup and view all the answers

    In which scale do the distances between scores have equal magnitude but lack an absolute zero?

    <p>Interval Scale</p> Signup and view all the answers

    What does a nominal scale categorize data based on?

    <p>Distinct categories without a specific order</p> Signup and view all the answers

    Which example illustrates an ordinal scale?

    <p>Degrees of anxiety among patients</p> Signup and view all the answers

    Which of the following is true regarding the interval scale?

    <p>It has equal intervals between values.</p> Signup and view all the answers

    How many total respondents are classified as Roman Catholic in the distribution according to religion and gender?

    <p>135</p> Signup and view all the answers

    What characteristic differentiates a nominal scale from an ordinal scale?

    <p>Nominal scales classify data into categories, while ordinal scales rank categories.</p> Signup and view all the answers

    In the distribution of medical students by race and civil status, which race has the highest number of single individuals?

    <p>Chinese</p> Signup and view all the answers

    Study Notes

    Statistics Overview

    • Involves collection, organization, presentation, analysis, and interpretation of data.
    • Divided into two main branches: Descriptive Statistics and Inferential Statistics.

    Population and Sample

    • Population: Entire group of people, animals, or things of interest.
    • Sample: Subgroup selected from the population for the study.

    Descriptive Statistics

    • Focuses on summarizing and presenting data to describe characteristics of a group.
    • Includes measures of central tendency (mean, median, mode) and measures of variation (range, variance, standard deviation).
    • Example: In a college exam, 52 of 60 students passed with an average score of 82/100.

    Inferential Statistics

    • Concerned with making predictions or inferences based on sample data.
    • Common methods include T-tests, Z-tests, ANOVA, Chi-square tests, and Pearson correlation.
    • Example: 65% of Filipino Generation Z prefer Twitter over Facebook compared to 34% of Millennials.

    Variables

    • Variables/Data Items: Numerical characteristics relating to the population studied.
    • Examples of variables: Age, sex, income, and birthplace.

    Categorical/Qualitative Variables

    • Classified based on attributes or categories.
    • Examples include gender, eye color, religion, and occupation.

    Numerical-Valued/Quantitative Variables

    • Classified based on numerical characteristics.
    • Discrete Variables: Obtained by counting (e.g., number of children).
    • Continuous Variables: Obtained by measuring (e.g., height, weight).

    Scales of Measurement

    • Critical for selecting the appropriate statistical tool for analysis.
    • Four types:
      • Nominal Scale: Classifies individuals into categories without order. Example: Gender classification (Male, Female).
      • Ordinal Scale: Ranks individuals by degree of a characteristic. Example: Competition rankings (1st, 2nd, 3rd).
      • Interval Scale: Orders scores with equal distances between values but no absolute zero. Example: Temperature scales.

    Hospital Data Examples

    • Patient Profiles: Provided examples of patients' gender, age, job type, civil status, and illnesses in a hospital setting.
    • Distribution Tables: Illustrate population attributes across various categories such as religion by gender and race by civil status.

    Data Presentation

    • Charts and tables are useful for communicating information.
    • Examples of distributions include religion and gender statistics, showing totals and separations by category.

    These notes summarize the key concepts in statistics relevant to understanding data collection, analysis, and interpretation, alongside relevant examples to clarify application.

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    Related Documents

    Basic Statistics PDF

    Description

    Test your knowledge on the fundamentals of statistics with this quiz. Covering key concepts like population, sample, and descriptive statistics, this quiz is perfect for high school students. Challenge yourself to interpret data and understand statistical methods.

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