Algebra 2 Statistics Flashcards
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Questions and Answers

What is the definition of Statistics?

  • The study of the collection and presentation of data.
  • The study of random samples.
  • The study of population dynamics.
  • The study of the collection, analysis, and interpretation of data. (correct)

    • What is a Population in statistics?

    The collection of all data, such as responses, measurements or counts that you want information about.

    What is a Sample?

    A subset or part of a population.

    What is a Random Sample?

    <p>A sample that represents the entire population.</p> Signup and view all the answers

    What is a Census?

    <p>Data from an entire population.</p> Signup and view all the answers

    What is Bias in sampling?

    <p>Error introduced in the sampling method.</p> Signup and view all the answers

    What is a Parameter?

    <p>Numerical description of a population characteristic.</p> Signup and view all the answers

    What is a Statistic?

    <p>Numerical description of a sample characteristic.</p> Signup and view all the answers

    What is a Hypothesis?

    <p>A claim about a characteristic of a population.</p> Signup and view all the answers

    What is Population Proportion?

    <p>The ratio of members of a population with a particular characteristic to the total members of the population.</p> Signup and view all the answers

    What is Sample Proportion?

    <p>Ratio of members of a sample of a population with a characteristic to the total members of the sample.</p> Signup and view all the answers

    What constitutes a Self-selected Sample?

    <p>Members of a population who volunteer for the sample.</p> Signup and view all the answers

    What is a Systematic Sample?

    <p>A sample selected at regular intervals from an ordered population.</p> Signup and view all the answers

    What is a Convenience Sample?

    <p>Members of a population who are easy to reach.</p> Signup and view all the answers

    What is a Stratified Sample?

    <p>A population divided into smaller groups with similar characteristics.</p> Signup and view all the answers

    What is a Cluster Sample?

    <p>A sample where all members in one or more groups are selected.</p> Signup and view all the answers

    What is an Unbiased Sample?

    <p>A sample representative of the population you want information about.</p> Signup and view all the answers

    What is a Biased Sample?

    <p>A sample that over- or under-represents a part of a population.</p> Signup and view all the answers

    What is an Experiment in statistics?

    <p>Imposes treatment on individuals to collect data on their responses.</p> Signup and view all the answers

    What is an Observational Study?

    <p>Observes individuals and measures variables without controlling them.</p> Signup and view all the answers

    What is a Survey?

    <p>An investigation of characteristics of a population through questions.</p> Signup and view all the answers

    What is a Simulation?

    <p>Uses a model to reproduce conditions closely matching real-world outcomes.</p> Signup and view all the answers

    Study Notes

    Statistics Overview

    • Involves collection, analysis, interpretation, presentation, and organization of data.

    Population

    • Refers to all data relevant to a study, such as measurements or responses.
    • Examples include census data or all students in a specific school.

    Sample

    • A subset of a population, which can be obtained through various methods to ensure randomness.

    Random Sample

    • A sample representative of the entire population, facilitating accurate conclusions.
    • Example: A mixture of students from different grades in a high school.

    Census

    • Gathers data from an entire population but is often impractical due to time and cost involved.

    Bias

    • Introduces error in sampling methods, leading to over- or under-representation of a population segment.
    • Example: Sampling only 10th and 11th graders in a survey.

    Parameter

    • Represents a numerical characteristic of a population.
    • Example: The average minimum wage of teenagers in a town.

    Statistic

    • A numerical description derived from a sample, reflecting a characteristic of that sample.
    • Example: Median salary of statisticians in a survey.

    Hypothesis

    • A proposed claim regarding a population characteristic, requiring analysis to distinguish significant results from random chance.

    Population Proportion

    • The ratio of individuals with a specific characteristic in a population compared to the total population size.

    Sample Proportion

    • Similar to population proportion but pertains specifically to a sample of the population.

    Random Sample (Definition Reiteration)

    • Ensures each member has an equal chance of selection, representing the population accurately.

    Self-selected Sample

    • Composed of individuals who voluntarily participate, such as an online survey.

    Systematic Sample

    • Involves selecting every Kth member from an ordered population.
    • Example: Picking every 6th student entering a classroom.

    Convenience Sample

    • Involves members who are easily accessible.
    • Example: Surveying students within a specific class.

    Stratified Sample

    • Division of a population into groups sharing similar traits, with samples drawn randomly from each group.
    • Example: Sampling 50 students each from freshmen, sophomores, juniors, and seniors.

    Cluster Sample

    • Involves dividing the population into clusters and selecting all members from specific clusters.
    • Example: Selecting all students from several chosen homerooms.

    Unbiased Sample

    • Accurately represents the population, ensuring fair and accurate analysis.

    Biased Sample

    • Over- or under-represents aspects of the population, leading to skewed results.

    Experiment

    • Imposes a treatment on subjects to observe responses, applicable in various fields like medicine.

    Observational Study

    • Focuses on measuring variables without controlling the environment, often used when experimentation is unethical.

    Survey

    • Investigates characteristics of a population through questionnaires directed at every member.

    Simulation

    • Employs models to replicate real-world situations, producing outcomes that mirror actual scenarios.
    • Example: Rolling a die multiple times to predict outcomes.

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    Description

    Test your knowledge of key statistics concepts with these flashcards. You'll learn about fundamental terms such as 'Statistics', 'Population', and 'Sample'. Perfect for Algebra 2 students looking to enhance their understanding of statistical methods.

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