Statistics for Research: Correlation Analysis and Quality Improvement

Running head: STATISTICS RESEARCH 1
Statistics for Research.
Name
Intuitional affiliation.

STATISTICS RESEARCH
Introduction and executive summery.
When using the correlation, we seeks to produce the coefficient R which is responsible for
measuring the strength and the direction of relationship between two pair of data and continuous
variables. This means that by extension, the correction will evaluate the presence of statistics
evidence for a leaner relationship that exist among the same pairs of population. This analysis
produces the result of coefficient to a different type and kinds of variable. This variable that are
based on certain codes and variables presented in the excel spreadsheet. The variable to analyze
includes, relationship conflict, task conflict, the target relationship conflict, the target task
conflict, and the inadequate preparation time of the people involved (Mukaka, 2012). It is
important to note that before the data is analyzed, it is necessary to keep the following points into
consideration: That there are two or more variables which are continuous, That both cases have
variables on both sides, That there is an existence of leaner relationship between the variables,
That the variables have independent cases.

STATISTICS RESEARCH
Relationship between T1 and T3.
Correlations
TC 1: How many
disagreements
over different
ideas were
there?
TC 3:How many
differences of
opinion were
there within the
group?
TC 1: How many
disagreements over different
ideas were there?
Pearson Correlation 1 .677**
Sig. (2-tailed) .000
N 77 77
TC 3:How many differences
of opinion were there within
the group?
Pearson Correlation .677** 1
Sig. (2-tailed) .000
N 77 77
**. Correlation is significant at the 0.01 level (2-tailed).
1. What is the strength of the correlations between the variables?
1. What is the strength of the correlations between the variables?
In most cases, the strength of correlations seeks to measure the strength that exist in a
relationship. To get the strength of coefficient correlation, we need to assume that the
relationship is leaner (Rathus, 2017). On general observation in most cases is that correlation is
always strong when T1 correlation r is higher than 0.7. In this case the value of R=1. This means
that the strength R =1. This means that the correlation is very strong.
2. What measure of quality is most associated with relationship conflict? Task Conflict?
The measure of quality that is mostly associated with relationship conflict and task conflict is the
scale and coefficient quantity.