First part of Statistics topic

1. Hypothesis
Testing

2. HYPOTHESIS
•A premise or a claim that we want to test or
investigate.
•defined as a proposed explanation (may or
may not be true) for a phenomenon that can
be used as a basis for further verification or
investigation.

3. TWO Opposing Hypotheses for
each Phenomenon
•Null hypothesis (Ho)
•Alternative hypothesis (Ha)

4. Null Hypothesis (Ho)
•Currently accepted value for a parameter
•states that there is no difference between
a parameter and a statistic, or that there
is no difference between two parameters.

5. Alternative Hypothesis (Ha)
•Also called as Research Hypothesis
•states the existence of a difference
between a parameter and a statistic or
states that there is a difference between
two parameters.

6. Example:

7. Ho and Ha are mathematical
opposites

11. POSSIBLE OUTCOMES OF THE TEST:
1.Reject the Null Hypothesis
2.Fail to reject the Null hypothesis

12. TEST STATISTICS:
•Calculate from the sample
data.
•Used to decide