what are different types of hypotheses, Null, Alternate, Directional(One-tail), Non-Directional (Two-tail), TYPE-1 & TYPE-2 Error

Hypothesis –Research, Directional, Non-Directional Null, Type-1 Error, Type-2 Error, Alpha, Beta, P-Value

By-NIDHI VAISH

KEY POINTS OF HYPOTHESIS 👇📝

  • Hypo+Thesis= Hypothesis
    ‘Hypo’ means tentative or subject to the verification
    ‘Thesis’ means a statement about the solution of a problem.

    Hypotheses are formal statements regarding the expected or predicted between two or more variables in a specific population.

    (TYPES OF HYPOTHESIS)
  • Alternate Hypothesis (H1)- 
is a specific, clear, and testable proposition or predictive statement about the possible outcome of a scientific research study based on a particular property of a population, such as the presumed difference between groups on a particular variable or relationships between variables.
  • Null Hypothesis (H0)-

It is also known as a statistical hypothesis & is used for statistical testing & interpretation of statistical outcomes. It states the existence of no relationship between the independent & dependent variables.

Problem- ‘There is no relationship between smoking & the incidence of coronary artery disease.’

  • Directional Hypothesis 

Directional Hypothesis states the nature of the relationship between two or more variables such as positive, negative or no relationship.


  • Non-Directional Hypothesis
It reflects the relationship between two or more variables, But it does not specify the anticipated direction & nature of the relationship such as positive or negative . It indicates the existence of a relationship between the variable, but not Direction.

TYPE-1 ERROR AND TYPE-2 ERROR 

Type I error (false-positive) occurs if an investigator rejects a null hypothesis that is actually true in the population.
Type II error (false-negative) occurs if the investigator fails to reject a null hypothesis that is actually false in the population.






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