T-Test statistics Assessment 2022

Running head: T-TEST STATISTICS 1
T-Test statistics
Name:
Institution:

T-TEST STATISTICS 2
Introduction
The understanding of the effectiveness of an intervention is quite important. Comparing two
or more intervention approaches helps identify which is the most effective or which strategy
is recourse efficient. In this case, the primary objective is to determine whether the
intervention approach used in group 1 is more effective than that used in group 2. The
effectiveness of the intervention is measured by the number of days between the end of the
program and the day of the signed offer letter. Thus, the lesser the waiting days, the better the
program.
Results and Discussion
The assessment is carried out to test whether the career exploration lectures twice per week
are more effective than resource room utilization intervention. In this study, the null
hypothesis is that the two interventions (group 1 and group 2) are not significantly different,
whereas the alternative hypothesis is that the group 1 intervention is more effective than
group 2 intervention. In this case, one can only specify the alternative hypothesis as it shows
the claim of the research.
The independent sample t-test was carried out, and the results are as tabulated below.
Table 1: Group descriptive statistics
Group Statistics
Intervention Group N Mean Std. Deviation Std. Error Mean
Number of days Career Exploration lectures 40 32.90 14.001 2.214
Resource Room utilization 40 47.60 16.148 2.553
The summary indicates that the group 1 intervention (Career Exploration lectures twice per
week) has on average, lower number of waiting days (Keller, 2015). Thus, it is expected that