• A hypothesis is a formal affirmative statement predicting a single research outcome,a tentative explanation of the relationship between two or more variables.
  • Hypothesis is an assumption, presumption, or in simple words guess towards some situation or condition.
  • It is an assumption of relationships between the dependent and independent variables.
  • Hypotheses provide the researcher a line of action along which he/she moves to find out answers to the problem he/she is working on. It is not necessary that every research study has a hypothesis.
  • It is on the basis of this review and discussion with peers and others in the field that we propose a relationship between the variables.

There are two kinds of hypotheses

  1. Null hypothesis
  2. Alternative hypothesis
  1. Null hypothesis
  • Null hypothesis states a relationship between two variables where there is no significant difference between the experimental and control groups.
  • To empirically study correlation between two variables a null hypothesis is formed.
  • A null hypothesis is an assumption that no difference exists between two variables. In other words there is no statistically difference between experimental and control groups.
  • Hypothesis is stated as null hypothesis, which is a negative statement.
  • It is denoted by
  • The term was originally coined by statisticianRonald Fisherin 1935

2. Alternative hypothesis

  • The concept of an alternative hypothesis in testing was devised byJerzy NeymanandEgon Pearson, and it is used in theNeyman–Pearson lemma
  • The hypothesis which is accepted when the null hypothesis has been rejected is called the alternative hypothesis.
  • It is denoted by or. Whatever we are expecting from the sample data is taken as the alternate hypothesis.
  • The alternative hypothesis never contains the sign of equality. Thus will not contain ‘=‘, ‘‘or ‘‘signs.

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