2. Chapter 9,Hypothesis Testing Developing Null and Alternative
Hypotheses Type I and Type II Errors Population Mean: s Known
Population Mean: s Unknown Population Proportion 3.
IntroductionAssumption about population parameter ishypothesis.
Process of testing its validity is known ashypothesis testing. i.e.
claim about something ishypothesis and process of testing its
validity ishypothesis testing. 4. Null and alternative
hypothesisNull hypothesis: Assumption about populationparameter is
null hypothesis. Here we assume thatthere is not significant
difference between assumedvalue and true value. It is denoted by
Ho. The nullhypothesis is written in terms of population. For eg.
Ifwe wish to test average marks of Student in statistics inMBA I
term is 75 or not then null hypothesis isHo:=75 5. Alternative
hypothesisOne inference may the null hypothesis is consideredfalse
,something else must be true.Whenever a null hypothesis is
specified, an alternativehypothesis is also specified, and it must
be true whennull hypothesis is false. In other words any
hypothesisthat is true when null hypothesis is false is
calledalternative hypothesis.Alternative hypothesis is denoted by
H1 6. ContinueI f we wish that Class of Statistics was
properlyhandled by Mr Nirajan Bam So average marks ofStudent is 75
.This is stated asHo: =75 Vs H1: 75 (Two tailed test)Again if we
assume that Class of Statistics was properlyhandled by Mr Nirajan
Bam So average marks ofStudent is more than 75 .This is stated as
7. ContinueHo:=75 Vs H1:>75 (Right tailed test)Again if Dean of
PU assume thatClass of Statistics was not properly handled by
MrNirajan Bam So average marks of Student is Less than55 .This is
stated asHo:=55 Vs H1:
