Hypothesis

Definition of Hypothesis

Hypothesis has been defined as, for phenomenon, a suggested explanation. Hypothesis is derived from a Greek word hypotithenia which means to-suppose or put-under. Although the two words theory and hypothesis are mostly used in a synonymous manner, scientific-theory isn’t similar to scientific-hypothesis.  

Scientific Hypothesis

Hypothesis has been referred to as trial solution for any problem by most of the people. Hypothesis is also called as educated-guess, as it caters a proposed solution which is based upon evidences. Experimenters might reject and test various hypotheses prior to solving any problem. As stated by Vaughn and Schick, researchers who are taking into consideration substitute hypotheses may weigh up the points which are mentioned below:

• Testability - Weighing or comparing falsisi ability.
• Simplicity - Like in Occam’s razor application, discouraging excessive no. of entity’s postulations.
• Scope – The hypothesis unmistakable application towards many phenomena cases.
• Fruitfulness – The expectation that an explanation for preceding phenomena may be received through hypothesis in future.
• Conservatism – It is the fit’s degree with the existing identified systems of knowledge.

Working Hypothesis

Working hypothesis has been regarded as that hypothesis which is accepted provisionally as base for more research in future with a hope that new theory will be evolved, i.e. tenable-theory, even though hypothesis meets failure. Similar to every hypothesis, working hypothesis has been constructed in the form of an expectation’s statement, which is linked with the purpose of exploratory-research in an empirical-navigation & often is used in the form of conceptual-framework or model in the qualitative-research.

Concepts of Hypothesis

Hypothesis has following concepts:

• If the values observed are numerous standard-errors derived form expected-value, then null-hypothesis cannot be believed upon.
• P-value is usually misinterpreted. One should always bear in mind that this p-value is the conditional-probabilities, i.e. the value is conditioned upon the fact that null hypothesis is true.
• One should always check conditions prior to applying hypothesis test. An experiment which is designed very poorly cannot be saved by hypothesis testing.
• 2 sided-Hypothesis test and confidence-intervals are tantamount.
• One should be aware of the fishing-expeditions. When a person is having a set-of-statements which he wants to check & for the set the null-hypothesis proves to be true, in that case he expects that 5 percentage of true-null hypothesis will be not accepted.
• If after knowing the result of the test, a person still states an alternative or null hypothesis, them it is totally a cheating.
• Practical-significance is different from statistical-significance, they are not same.
• One should always state an alternative and null hypothesis as parameters of population.
• A person may come across those people who are talking about significant-result, which has a meaning that null-hypothesis has been rejected.