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Types of Hypothesis. 1. Null Hypothesis. 2. Alternative Hypothesis. ➢ Null Hypothesis. Hypothesis considering no difference or the hypothesis of no ...
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Geography (H), UG, 4th^ Semester CC-10-TH: FIELD WORK AND RESEARCH METHODOLOGY Topic: Hypothesis by- Kaberi Murmu
A set of assumption to be proved or disproved is called hypothesis. For researcher hypothesis is a formal question that he intends to resolve. Hypothesis is considered as an intelligent guess or prediction that gives directional to the researcher to answer the research question. Hypothesis or Hypotheses are defined as the predictive statement or explanation, capable of being tested by scientific methods that show the relationship between two or more independent to some dependent variables in a specified population. A hypothesis is an assumption about relations between variables. It is a tentative explanation of the research problem or a guess about the research outcome. Webster (1968) has defined hypothesis as “a tentative assumption made in order to draw out and test its logical or empirical consequences.” ‘Test’ here means “either to prove it wrong or to confirm it”. Few Examples of Hypothesis o Group study increases higher division achievement. o Young girls (between 15-30 years) are more victims of crimes against women than middle –aged women (between 30-40 years). o Educated women have more adjustment problems after marriage than illiterate women. o Economic instability hampers development of an establishment. o Job satisfaction decreases as working hours increases.
Hypothesis is never formulated in the form of question. Bailey(1982), Becker(1989), Selltiz et al (1976), and Sarantakos (1998) have pointed out a number of standerds to be met in formulating a hypothesis:
Hypothesis should be clear and precise. Should be capable of being tested. Research programmes have bogged down due to untestable hypothesis. Hypothesis state relationship between variables, if it be a relational Hypothesis. Should be limited in scope and must be specific. Narrower hypothesis are generally more testable and a researcher should developed such hypothesis. Hypothesis should be stated as possible in most simple terms so that it is easily understandable by all concern. But on must remember this simplicity of hypothesis has nothing to do with its significance. Hypothesis should be consistent with most known facts i.e., it must be a substantial body with the established facts. Should be amenable to testing within a reasonable time. Hypothesis must explain the facts that give rise to the need for explanation. Using the hypothesis and other known and accepted generalizations one should be able to explain the original problem Condition.
The level of significance: In a statistical test the probability of error in the result is called level of significance. Level of significance 5% (0.05) indicates that there is the probability of 5% of error and probability of 95% to be correct. Ho (null hypothesis) will be rejected when the sampling result or calculated value is more than the tabulated value or critical value. Type I and type II error In context of hypothesis testing there are two types of errors we can make. We may reject null hypothesis when it is true or we may accept null hypothesis when it is not true. Type I error means rejection of hypothesis which should have been accepted. Type I error is denoted by (α) Type II error means accepting of hypothesis which should have been rejected. Type II error is denoted by (β) One Tail Test and Two Tail Test The area within bell shape standard normal curve is considered to be 1. The acceptance or rejection of the null hypothesis that is the decision of statistical (significance) test depends on whether it is within the acceptance region or within the rejection region. Two Tail Test: When the test of hypothesis is made on the basis of the rejection region represented on both sides of the standard normal curve then it is called two tail test. One Tail Test: When the test of hypothesis is made on the basis of the rejection region represented on one side of the standard normal curve then it is called two tail test.
Flow Diagram for Hypothesis Testing