# Hypothesis YouTube Lecture Handouts for NTE Praxis

Get top class preparation for IAS right from your home: Get complete video lectures from top expert with unlimited validity: cover entire syllabus, expected topics, in full detail- anytime and anywhere & ask your doubts to top experts.

Get video tutorial on: Examrace YouTube Channel

## 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