Statistics Overview
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Questions and Answers

What is the primary focus of biostatistics?

  • Analysis of data in business
  • Applications in health sciences and biology (correct)
  • Development of statistical theory in mathematics
  • Creation of new programming languages
  • A population is a set of values that a variable can have.

    True

    What distinguishes a parameter from a statistic?

    A parameter refers to a characteristic of the population, while a statistic refers to a characteristic of the sample.

    A collection of data is often called a _____ set.

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

    Which of the following best describes a quantitative variable?

    <p>A characteristic that can have different values</p> Signup and view all the answers

    Match the following terms with their definitions:

    <p>Sample = A part of a population Population = The complete set of values a variable may have Statistic = A characteristic of a sample Parameter = A characteristic of a population</p> Signup and view all the answers

    Data is singular and refers to a single observation.

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

    Provide one example of a qualitative variable.

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

    Study Notes

    Statistics

    • Statistics is the study of how we make sense of data arising from random processess or phenomena.
    • The field of statistics provides fundamental techniques for the scientific method through:
      • Forming hypotheses
      • Designing experiments and observational studies
      • Gathering data
      • Summarizing data
      • Drawing inferences from data and testing hypotheses

    Branches of Statistics

    • Mathematical Statistics is the development of statistical theory and methods.
    • Applied Statistics involves the application of statistical methods to solve real problems involving randomly generated data.

    Biostatistics

    • Biostatistics is a branch of applied statistics focusing on health sciences and biology.

    Data

    • Data are observations of random variables made on elements of a population or sample.
    • Data are quantities, numbers, or qualities observed and collected for analysis.

    Variables

    • A variable is an object, characteristic, or property that can vary in different places, persons, or things.
    • A quantitative variable can be measured.
      • Examples: heart rate, height, weight, age, size of a tumor, volume of a dose.
    • A qualitative (categorical) variable cannot be measured, but can be sorted into categories.
      • Examples: gender, drug name, disease status.

    Populations and Samples

    • A population is the collection of every value that a variable may have.
    • A sample is a part of the population.
    • We use sample data to draw inferences about the population.
      • The sample mean is not the true mean but may be very close depending on the sample size.

    Parameters vs. Statistics

    • A parameter is a characteristic of the population.
    • A statistic is a characteristic of the sample.
    • We estimate sample mean to have insight on the true population mean.
      • The sample mean is a ‘statistic’.
      • The population mean is a ‘parameter’.

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    Biostatistics Lecture (1) PDF

    Description

    Explore the fundamental principles of statistics, including its branches such as mathematical and biostatistics. Understand how data is gathered, summarized, and analyzed to form hypotheses and draw inferences. This quiz will test your knowledge on key concepts and applications in the field of statistics.

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