BUSSINESS RESEARCH
METHODOLOGY
TOPIC- One Tailed & Two Tailed
Test
Presented By-
Upama Dwivedi
Section A
Roll -42
CONTENTS
Hypothesis
Concept Of Hypothesis
One Tailed Test
Two Tailed Test
Example
Conclusion
Refrence
HYPOTHESIS
Any assumption that the researcher
makes on the probable direction of the
result that might be obtained on
completion of the research process is
termed as a HYPOTHESIS
Hypothesis testing is a process of
choosing
Between competing hypotheses about
a probability distribution , based on
observed data from the distribution.
Concept Of Hypothesis
Null hypothesis
An assertion that a parameter in a
statistical model takes a particular
value , and is assumed true until
experiment evidence suggest .
Alternative hypothesis
It express the way in which the value of a
parameter may deviate from that
specified in a null hypothesis, and is
assumed true when the experiment
evidence suggests that the null
hypothesis is false.
ONE TAILED TEST
A hypothesis test in which the
population parameter is known to fall
either left or right of center of the
sampling distribution is called one
tailed test.
TWO TAILED TEST
A statistical test in which the critical area of
a distribution is two sided and tests whether
a sample is either greater than or less than a
certain range of values.
Types Of Error.
The following table gives an idea about
the Type I and Type II Errors.
Accept H
ₒ
Accept H
ₒ
Reject H
ₒ
Reject H
ₒ
H is true
ₒ
H is true
ₒ
H is false
ₒ
H is false
ₒ
No ErrorNo Error Type I ErrorType I Error
Type II ErrorType II Error No ErrorNo Error
Example Of One & Two Tailed Test.
CONCLUSION
In practice , we should use a one
tailed test only when we have a good
reason to expect that the difference
will be in a particular direction. A two
tailed test is more conservative than a
one tailed test because a two- tailed
test takes a more extreme test statistic
to reject the null hypothesis.