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3.6.2 DESCRIPTIVE ANALYSIS

Descriptive analysis is a type of analysis that sums up and evaluates some aspects of data collection, but it doesn't try to figure
out what the rest of the population looks like. It would be used to figure out the average of the data, especially for queries that used
an interval measurement model to figure out the average of the data.

3.6.3 RELIABILITY ANALYSIS

The research uses a reliability analysis to determine the reliable variable in order to conduct a correlation study. Additionally, it
permits the researcher to assess the dependability of each variables in this inquiry. Reliability refers to the degree to which a scale
produces consistent findings when repeated measurements are taken. The term "dependability analysis" refers to the process of
determining the reliability of a system. The degree of systematic fluctuation in a scale may be determined by measuring the correlation
between scores obtained from various scale applications, as reliability analysis does.

3.7 PILOT TEST

A pilot test is a brief preliminary study conducted to evaluate the feasibility of a proposed research study before it is conducted on a bigger
scale. The methodologies and procedures utilised in this less comprehensive investigation are, for the most part, identical to those used in
the more extensive study. A pilot study's principal objective is to ascertain the feasibility of the extended investigation that is planned.
Additionally, the pilot test may be used to identify the budget and sample size requirements for the more comprehensive inquiry. Pilot tests
are often referred to as pilot projects, pilot studies, feasibility studies, and pilot runs.

A brief preliminary study is conducted to assess the feasibility of a proposed research project before it is carried out on a bigger scale. The
methodologies and procedures utilised in this less comprehensive investigation are, for the most part, identical to those used in the more
extensive study. A pilot study's principal objective is to ascertain the feasibility of the extended investigation that is planned. Additionally,
the pilot test may be used to identify the budget and sample size requirements for the more comprehensive inquiry. Pilot tests are often
referred to as pilot projects, pilot studies, feasibility studies, and pilot runs. Thirty responders may utilise this research as a trial test.

3.8 HYPOTHESES TESTING

3.8.1 CORRELATION ANALYSIS

The link between the two variables was determined via the application of correlation. Pearson The correlation coefficient was used
to identify the relationships between variables. Cooper, D.R., and Schindler, P. S. (2008) describe correlation as the relationship
between two or more variables that move in lockstep with one another, with systematic changes in one following systematic change
in the other, according to their definition. It is possible to establish if two variables in a demographic are connected by using
correlation.

3.8.2 REGRESSION ANALYSIS

In regression analysis, simple and many predictions are utilised to predict Y from X data (Cooper, D.R. and Schindler,
P. S. 2008). It may be used to determine if the independent variables adequately explain the dependent variable's
variation and to determine whether there is a relationship. Additionally, it is used to determine the extent to which the
independent factors may explain the variation of the dependent variables. Multiple regression analysis is chosen by
the researcher. When the assumption of a multivariate normally distributed collection of independent variables with a
common variance-covariance matrix is broken, the regression approach should be more robust.

The following is a linear regression model:

µᵖ = β0 + β1χ1 + β2χ2+ β3χ3+β4χ4

3.9 SUMMARY

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