A hypothesis is a general guess as to what a result may be. In general, it is the second step of the "scientific process". In the average "scientific process" you start with a question, form a hypothesis, test the hypothesis, make a conclusion, and report results.
theory
A tentative explanation in research is called a hypothesis. The hypothesis is based on observation. The general explanation of the observation is called a theory. In other words, a theory is the result of testing a hypothesis.
A simple hypothesis is one in which all parameters of the distribution are specified. For example, if the heights of college students are normally distributed with, the hypothesis that its mean is, say,, that is , we have stated a simple hypothesis, as the mean and variance together specify a normal distribution completely. A simple hypothesis, in general, states that where is the specified value of a parameter, ( may represent etc). A hypothesis which is not simple (i.e. in which not all of the parameters are specified) is called a composite hypothesis.For instance, if we hypothesize that (and) or and, the hypothesis becomes a composite hypothesis because we cannot know the exact distribution of the population in either case. Obviously, the parameters and have more than one value and no specified values are being assigned. The general form of a composite hypothesis is or, that is the parameter does not exceed or does not fall short of a specified value. The concept of simple and composite hypotheses applies to both null hypothesis and alternative hypothesis.
Hypothesis: A supposition or proposed explanation made on the basis of limited evidence as a starting point for further investigation. Theory: A scientifically acceptable general principle or body of principles offered to explain phenomena; a hypothesis assumed and accepted as truth
The general purpose of a hypothesis is to propose a testable explanation or prediction for a phenomenon or problem in research. It guides the research process by providing a clear direction and focus for data collection and analysis.
A hypothesis is a general guess as to what a result may be. In general, it is the second step of the "scientific process". In the average "scientific process" you start with a question, form a hypothesis, test the hypothesis, make a conclusion, and report results.
Hypothesis
hypothesis
theory
A tentative explanation in research is called a hypothesis. The hypothesis is based on observation. The general explanation of the observation is called a theory. In other words, a theory is the result of testing a hypothesis.
A hypothesis can be formed from observations.
A simple hypothesis is one in which all parameters of the distribution are specified. For example, if the heights of college students are normally distributed with, the hypothesis that its mean is, say,, that is , we have stated a simple hypothesis, as the mean and variance together specify a normal distribution completely. A simple hypothesis, in general, states that where is the specified value of a parameter, ( may represent etc). A hypothesis which is not simple (i.e. in which not all of the parameters are specified) is called a composite hypothesis.For instance, if we hypothesize that (and) or and, the hypothesis becomes a composite hypothesis because we cannot know the exact distribution of the population in either case. Obviously, the parameters and have more than one value and no specified values are being assigned. The general form of a composite hypothesis is or, that is the parameter does not exceed or does not fall short of a specified value. The concept of simple and composite hypotheses applies to both null hypothesis and alternative hypothesis.
The meaning of a null hypothesis when writing a paper is to produce a default or general position, in which case there is no relationship between the two phenomena to be measured.
A simple hypothesis is one in which all parameters of the distribution are specified. For example, if the heights of college students are normally distributed with, the hypothesis that its mean is, say,, that is , we have stated a simple hypothesis, as the mean and variance together specify a normal distribution completely. A simple hypothesis, in general, states that where is the specified value of a parameter, ( may represent etc). A hypothesis which is not simple (i.e. in which not all of the parameters are specified) is called a composite hypothesis.For instance, if we hypothesize that (and) or and, the hypothesis becomes a composite hypothesis because we cannot know the exact distribution of the population in either case. Obviously, the parameters and have more than one value and no specified values are being assigned. The general form of a composite hypothesis is or, that is the parameter does not exceed or does not fall short of a specified value. The concept of simple and composite hypotheses applies to both null hypothesis and alternative hypothesis.
Theory, hypothesis, estimate, experiment
A hypothesis which is not simple (i.e. in which not all of the parameters are specified) is called a composite hypothesis.For instance, if we hypothesize that (and) or and, the hypothesis becomes a composite hypothesis because we cannot know the exact distribution of the population in either case. Obviously, the parameters and have more than one value and no specified values are being assigned. The general form of a composite hypothesis is or, that is the parameter does not exceed or does not fall short of a specified value. The concept of simple and composite hypotheses applies to both null hypothesis and alternative hypothesis.