Statistics Chapter: Descriptive and Inferential
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Questions and Answers

What is the primary objective of descriptive statistics?

  • To draw conclusions about the population
  • To describe the characteristics of the sample (correct)
  • To collect and organize data
  • To perform estimations and make predictions
  • What type of statistics is used when the population data set is small?

  • Inferential statistics
  • Theoretical statistics
  • Applied statistics
  • Descriptive statistics (correct)
  • What is the term for individual pieces of factual information recorded and used for the purpose of analysis?

  • Variable
  • Statistics
  • Biostatistics
  • Data (correct)
  • What is the primary goal of inferential statistics?

    <p>To draw conclusions about the population</p> Signup and view all the answers

    What is the type of statistics that deals with data analysis in biological and health fields?

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

    What is the term for any characteristic, number, or quantity that can be measured or counted?

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

    What is the primary source of data for primary statistics?

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

    What is the term for the process of organizing, summarizing, and presenting data?

    <p>Descriptive statistics</p> Signup and view all the answers

    Study Notes

    Types of Statistics

    • Inferential Statistics: uses sample data to make inferences about the population
    • Descriptive Statistics: organizes and summarizes data using numbers and graphs, describes characteristics of the sample

    Inferential Statistics

    • Objective is to draw conclusions about the population data
    • Involves drawing conclusions, performing estimations, and making predictions
    • Tools used: Hypothesis test, ANOVA
    • Form of results: probability score

    Descriptive Statistics

    • Objective is to describe the characteristics of the sample data
    • Involves collection, organizing, summarizing, and presenting data
    • Tools used: Measure of Central Tendency, Measure of Variability
    • Results presented in charts, graphs, and tables

    Measure of Central Tendency

    • Mean
    • Mode
    • Median

    Measure of Variability

    • Range
    • Variance
    • Dispersion

    Kinds of Statistics

    • Theoretical Statistics
    • Mathematical Statistics
    • Applied Statistics
    • Inferential Statistics
    • Descriptive Statistics

    Data

    • Definition: Individual pieces of factual information recorded and used for the purpose of analysis
    • Can be primary or secondary
    • Primary data sources: surveys, interviews, pools
    • Secondary data sources: annual reports, internet data, open governmental data

    Biostatistics

    • Definition: application of statistical principles to biological and health fields

    Variables

    • Definition: any characteristic, number, or quantity that can be measured or counted
    • Example variables: Gender, Hair color, Ethnicity, Economic status
    • Types of data: Nominal, Ordinal, Qualitative, Quantitative, Discrete, Continuous
    • Examples of discrete data: number of students in a class, number of home runs in a baseball game
    • Examples of continuous data: height of children, square footage of a two-bedroom house, speed of cars

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    Description

    Understand the basics of statistics, including descriptive and inferential statistics, their objectives, and tools used. Learn how to make inferences and draw conclusions about population data.

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