Introduction
• The purposeof hypothesis testing is to determine whether
there is enough statistical evidence in favor of a certain
belief about a parameter.
• An hypothesis is a preliminary or tentative explanation or
postulate by the researcher of what the researcher
considers the outcome of an investigation will be. It is an
informed/educated guess.
• It indicates the expectations of the researcher regarding
certain variables. It is the most specific way in which an
answer to a problem can be stated.
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What is hypothesis
•A tentative statement about a population
parameter that might be true or wrong
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THE DIFFERENCE BETWEENAN HYPOTHESIS AND A PROBLEM
• Both a hypothesis and a problem contribute to the
body of knowledge which supports or refutes an
existing theory.
• A hypothesis differs from a problem.
• A problem is formulated in the form of a question;
it serves as the basis or origin from which an
hypothesis is derived.
• A hypothesis is a suggested solution to a problem.
• A problem (question) cannot be directly tested,
whereas an hypothesis can be tested and verified.
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WHEN IS ANHYPOTHESIS FORMULATED
• An hypothesis is formulated after the problem
has been stated and the literature study has
been concluded.
• It is formulated when the researcher is totally
aware of the theoretical and empirical
background to the problem.
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PURPOSE AND FUNCTIONOF AN HYPOTHESIS
• It offers explanations for the relationships between
those variables that can be empirically tested.
• It furnishes proof that the researcher has sufficient
background knowledge to enable him/her to make
suggestions in order to extend existing knowledge.
• It gives direction to an investigation.
• It structures the next phase in the investigation and
therefore furnishes continuity to the examination
of the problem.
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CHARACTERISTICS OF ANHYPOTHESIS
• It should have elucidating power.
• It should strive to furnish an acceptable
explanation of the phenomenon.
• It must be verifiable.
• It must be formulated in simple,
understandable terms.
• It should corresponds with existing knowledge.
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Types of Hypotheses
1.Descriptive Hypotheses:
• These are propositions that describe the characteristics
( such as size, form or distribution) of a variable. The
variable may be an object, person, organization etc. ,
e.g., The rate of unemployment among arts graduates is higher than that of
commerce graduates. The educational system is not oriented to human
resource needs of a country.
2. Relational Hypotheses.
• These are propositions which describe the relationship
between two variables.
e. g. , Families with higher incomes spend more for recreation
Upper – class people have fewer children than lower class people.
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Cont…
3. Causal Hypotheses
–It state that the existence of, or a change in, one variable Causes or
leads to an effect on another variable.
– The first variable is called the independent variable, and the latter
the dependent variable.
– When dealing with causal relationships between variables the
researcher must consider the direction in which such relationship
flow
e.g: which is cause and which is effect
4. Working Hypotheses
• While planning the study of a problem, hypotheses are
formed.
• Initially they may not be very specific. In such cases, they
are referred to as ‘ working hypotheses’ which are subject
to modification as the investigation proceeds. 9
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Cont…
5. Null Hypotheses
•This hypotheses are formulated for testing statistical
significance, since, this form is a convenient approach to
statistical analysis. As the test would nullify the null
hypotheses.
e.g., : There is a relationship between a family’s income and expenditure on recreation, a null
hypothesis may state: There is no relationship between families income level and
expenditure on recreation.
6. Statistical Hypotheses
• These are statements about a statistical population. These are derived
from a sample. These are quantitative in nature in that they are numerically
measurable
eg: Group A is older than B’
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