TESTING YOUR HYPOTHESIS
Choosing the Best Method for Sekeran Process
Abstract
Various tools and methods are used to
check the hypothesis statement. Once the
data is collected it is represented in a manner
such that a conclusion can be drawn.
Hypothesis needs to be tested to ensure that
the research is applicable in real life and
decisions can be based on them.
introduction
A hypothesis is a tentative statement that proposes a
possible explanation to some phenomenon or event. A useful
hypothesis is a testable statement which may include a
prediction. Once a general hypothesis is formed from a given
data it is necessary to ensure that it is correct and applicable in
real life. This would entail the process of gathering data
pertaining to the variables identified in the hypothesis and
then using the results to create a correlation between the
variables. A conclusion is then drawn from the results to
establish whether the hypothesis derived was correct or not.
Samples, surveys, observations and historical data is used
to collect information on different variables. This is then
represented either through graphs, correlation or t-testing.
Once the results are displayed we can check our hypothesis
and determine the implications of our result.
The surveys, assessment tools or instruments used to gather data on
the variables within the hypothesis could be:
 The survey design
 question airs
 Interviews (telephone or face to face)
 Historical research
 Simulation Designs
 Sampling design
 Non-Probability Samples
 Accidental Samples
 Quota Samples
 Purposive Samples.
 Probability Samples
 Cluster Sampling
 Stratified Random Sample
 Simple Random Sample
random number generator and create simulated data for not
more than 25 participants (test subjects) in the study
using the ranges of values for the variables
Customer Loyalty
Customer Satisfaction
Number of Items
15
15
Arithmetic Mean
25
18
146
138
Sum of Square Deviations
Methods to test your hypothesis: graphical representation,
correlation & t-test.
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Different methods of checking the hypothesis are available such as use of
graphs, correlation of data and the use of t tests. In our situation the best
possible approach would be the use of correlation. Correlation takes into
account two variables and then determines the relationship between them (for
example by plotting them on graph). We are able to analyze how changes in
one variable can impact the other and vice versa. The correlation could also
be squared in order to find out the variability of the data concerned by
squaring the correlation coefficient.
Even though correlation tells us that the two variables are related, but we
cannot say anything about whether one caused the other. This method does
not allow us to come to any conclusions about cause and effect.
Graphs and t tests can be used to support the conclusions arrived from the
correlation.
Reasons for choosing Correlation Testing Method
 Customer Loyalty and Customer Satisfaction
are two very important factors in Sekeran
Process.
 These two are inter-related
 Correlation Methods provides best analysis to
measure the trends of relationship between
two factors
 Graphical Charts although are good for
overview, but for in-depth details these are
not appropriate