Hypothesis YouTube Lecture Handouts for Competitive Exams
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Hypothesis – Research
Insufficient Evidence Can be true or false
Concept

Tentative solution to a problem

May or may not be correct

Clear

Precise

Testable

Consistent with facts

Provide answer to problem

Logical simplicity

Not contradict established facts
Why Important?

Direction to research

Operationalize procedure

Select facts

Replicate research

Draw logical conclusion

Relation between variables

Provides a statement deduced from theory
Aims to Find?

Difference

Relationship (Statistically significant – Implies difference in result did not occur by chance)

Interaction
Null versus Alternative Hypothesis
Null Hypothesis (H_{0})

No statistical significance between the two variables.

Researcher is trying to disprove it.

Individual is free from disease

Relationship is due to chance
Alternative Hypothesis (H_{a})

Statistical significance between the two variables.

Researcher is trying to approve it

Individual has disease

Relationship is not due to chance

If is accepted, is rejected
Substantive vs. Statistical

Substantive – expected relation b/w variables, not operationalized

Statistical – operationalized in terms of statistical parameter
Simple vs. Complex

Simple – 1 IV & 1 DV

Complex – 2 or more IV & 2 or more DV
Practical vs. Statistical

Practical – In terms of practical outcomes

Statistical – In statistical outcomes
Positive, Negative or Null

Null – no relation b/w IV & DV

Positive

Negative
Universal vs. Existential

Universal – all variables are true at all times
“Brave soldiers if rewarded will perform well”

Existential – exist atleast for one particular case
“Few corporate staff might not perform well despite reward”
Manishika