When to use two-tailed test

    when is one tailed test used
    when is one tailed t test used
    when is a two tailed test used
    when is a two tailed test used quizlet
  • When is one tailed test used

    • Two-tailed test formula.

    Difference Between One-Tailed and Two-Tailed Tests

    One and Two-Tailed Tests are ways to identify the relationship between the statistical variables. For checking the relationship between variables in a single direction (Left or Right direction), we use a one-tailed test.

    One-tailed t-test example

  • One-tailed t-test
  • Two-tailed test formula
  • One-tailed hypothesis
  • One-tailed test example

    • A two-tailed test is used to check whether the relations between variables are in any direction or not.

    One-Tailed Test

    A one-tailed test is based on a uni-directional hypothesis where the area of rejection is on only one side of the sampling distribution.

    It determines whether a particular population parameter is larger or smaller than the predefined parameter. It uses one single critical value to test the data.

    Difference Between One-Tailed and Two-Tailed Tests

    Null Hypothesis (H0​): where [Tex]\theta[/Tex] represents a parameter (e.g., population mean) and θ0​ is a specific value.

    Alternative Hypothesis (H1​):

    • For a right-tailed test: [Tex]H_1: \theta > \theta_0 [/Tex]
    • For a left-tailed test: [Tex]H_1: \theta < \theta_0 [/Tex]

    Test Statistic: D

      when is a 2-tailed test used
      when should one tailed test be used