statistics

Communications

(noun)

A systematic collection of data on measurements or observations, often related to demographic information such as population counts, incomes, population counts at different ages, etc.

Related Terms

  • Accuracy
  • Mode
  • mean
  • median
Psychology

(noun)

Numerical values that give information about a sample of individuals or things, where the sample is a smaller subset of a population of interest.

Related Terms

  • Statistics and Parameters
  • population
  • parameter
  • random sample
  • sample
Statistics

(noun)

a mathematical science concerned with data collection, presentation, analysis, and interpretation

Related Terms

  • A statistician is someone who is particularly well-versed in the ways of thinking necessary to successfully apply statistical analysis
  • population
  • empirical
  • sample

(noun)

The study of the collection, organization, analysis, interpretation, and presentation of data.

Related Terms

  • A statistician is someone who is particularly well-versed in the ways of thinking necessary to successfully apply statistical analysis
  • population
  • empirical
  • sample

Examples of statistics in the following topics:

  • References

    • ., & the Task Force on Statistical Inference, APA Board of Scientific Affairs. (1999).
    • Statistical methods in psychology journals: Guidelines and explanations.
  • Descriptive or Inferential Statistics?

    • Descriptive statistics and inferential statistics are both important components of statistics when learning about a population.
    • This generally means that descriptive statistics, unlike inferential statistics, are not developed on the basis of probability theory.
    • Even when a data analysis draws its main conclusions using inferential statistics, descriptive statistics are generally also presented.
    • The conclusion of a statistical inference is a statistical proposition.
    • Some common forms of statistical proposition are:
  • Summary of Formulas

  • Counting

  • Statistical Literacy

  • References

    • F. (1960) Directional statistical decisions.
  • Understanding Statistics

    • Using statistics in public speaking can be a powerful tool.
    • Before a set of statistics can be used, however, it must be made understandable by people who are not familiar with statistics.
    • Use statistics that are easily understood.
    • Some common uses of statistics in a speech format may include:
    • This will likely use more complicated statistics.
  • Communicating Statistics

    • Visual tools can be an effective way of incorporating statistics in your persuasive speech.
    • Statistics is the study of the collection, analysis, interpretation, presentation, and organization of data.
    • Your audience is much more likely to believe you if you incorporate statistics.
    • Statistics can be difficult to understand on their own, though.
    • As a result, consider using visual tools such as tables, graphs, and maps to make statistics more understandable for your audience.
  • Introduction

    • You are probably asking yourself the question, "When and where will I use statistics?".
    • If you read any newspaper or watch television, or use the Internet, you will see statistical information.
    • There are statistics about crime, sports, education, politics, and real estate.
    • Included in this chapter are the basic ideas and words of probability and statistics.
    • You will soon understand that statistics and probability work together.
  • Applications of Statistics

    • Statistics also provides tools for prediction and forecasting.
    • This is called descriptive statistics .
    • Statistical models can also be used to draw statistical inferences about the process or population under study—a practice called inferential statistics.
    • Probability is used in "mathematical statistics" (alternatively, "statistical theory") to study the sampling distributions of sample statistics and, more generally, the properties of statistical procedures.
    • In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount as simply as possible.
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