Brm (one tailed and two tailed hypothesis)

upamadwivedi 19,075 views 12 slides Jun 25, 2014
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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

Accept H

Reject H

Reject H


H is true

H is true

H is false

H is false

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.

REFERENCE
•Research Methodology By-Deepak
Chawla &Neena Sondhi
•www.onlinestat.com
•www.cliffsnotes.com
•www.chartadvisor.com
•www.investopedia.com

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