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Statistics By Jim

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Population

By Jim Frost

In statistics, a population is the complete set of all objects or people of interest. Typically, studies definite their population of interest at the outset. Populations can have a finite size but potentially very large size. For example,

  • All valves produced by a specific manufacturing plant
  • All adult females in the United States
  • All smokers

Populations can also have an infinite size. For example, infinite populations are used for all possible results of a sequence of trials, such as flipping a coin.

Related

Related Articles:
  • Nonparametric Tests vs. Parametric Tests
  • How to Interpret P-values and Coefficients in Regression Analysis
  • How Hypothesis Tests Work: Significance Levels (Alpha) and P values
  • Interpreting P values
  • How to Identify the Distribution of Your Data

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    Top Posts

    • How to Interpret P-values and Coefficients in Regression Analysis
    • How To Interpret R-squared in Regression Analysis
    • Mean, Median, and Mode: Measures of Central Tendency
    • Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
    • How to Interpret the F-test of Overall Significance in Regression Analysis
    • Choosing the Correct Type of Regression Analysis
    • How to Find the P value: Process and Calculations
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