AD ALTA
JOURNAL OF INTERDISCIPLINARY RESEARCH
6H1: There are statistically significant dependences of a form of
spending free-time on a type of a study (bachelor or master
degree).
7H0: There are not statistically significant dependences of a
frequency of smoking cigarettes on a type of a study (bachelor or
master degree).
7H1: There are statistically significant dependences of a
frequency of smoking cigarettes on a type of a study (bachelor or
master degree).
8H0: There are not statistically significant dependences of an
appearance of experiences with drugs on a type of a study
(bachelor or master degree).
8H1: T here are statistically significant dependences of an
appearance of experiences with drugs on a type of a study
(bachelor or master degree).
9H0: There are not statistically significant dependences of an
appearance of physical activities in a life style on a type of a
study (bachelor or master degree).
9H1: There are statistically significant dependences of an
appearance of physical activities in a life style on a type of a
study (bachelor or master degree).
10H0: There are not statistically significant dependences of
using regenerative or relaxing possibilities against stress or
tiredness on a type of a study (bachelor or master degree).
10H1: There are not statistically significant dependences of
using regenerative or relaxing possibilities against stress or
tiredness on a type of a study (bachelor or master degree).
As can be seen in Table 1, the statistically significant
dependences between pairs of categorical statistical variables are
assigned to a particular hypothesis. In this table, numbers of
questions are declared.
Table 1 Description of Pairs of Statistical Categorical Variables
for Purposes of Testing Hypotheses
Hypothesis
1
st
Categorical
Variable
2
nd
Categorical
Variable
1H
Question 3
Bachelor or Master
Degree
2H
Question 5
Bachelor or Master
Degree
3H
Question 7
Bachelor or Master
Degree
4H
Question 14
Bachelor or Master
Degree
5H
Question 17
Bachelor or Master
Degree
6H
Question 18
Bachelor or Master
Degree
7H
Question 21
Bachelor or Master
Degree
8H
Question 22
Bachelor or Master
Degree
9H
Question 24
Bachelor or Master
Degree
10H
Question 26
Bachelor or Master
Degree
With respect to categorical type of observed statistical variables,
statistical method Chi-squared test were applied in the frame of
testing hypothesis 1H – 10H. As value 0.05, a significance level
α was considered for purposes of an educational quantitative
research. According to achieved p-values in PAST Statistics
(Hammer, et al., 2001), conclusions of testing hypotheses can be
seen in Table 2.
Table 2 Testing Hypotheses Using Chi-Squared Test
Hypothesis
p-value
Conclusion
1H
0.05509 >
α
1H
0
is failled to reject.
2H
0.57472 >
α
2H
0
is failled to reject.
3H
0.16288 >
α
3H
0
is failled to reject.
4H
0.04905 <
α
4H
0
is rejected in favor of
4H
1
5H
0.96231 >
α
5H
0
is failled to reject.
6H
0.72137 >
α
6H
0
is failled to reject.
7H
0.79816 >
α
7H
0
is failled to reject.
8H
0.66813 >
α
8H
0
is failled to reject.
9H
0.28904 >
α
9H
0
is failled to reject.
10H
0.61030 >
α
10H
0
is failled to reject.
Due to achieved results of testing hypotheses, only 2H indicated
an existence of statistically significant dependences on the
significance level 0.05. In other cases, there were not confirmed
existences of statistically significant dependences on the
significance level 0.05.
Furthermore, we will present some of the results from the
questionnaire, based on percent-frequency analysis and on the
basis of the assessment in the form of zero alternative
hypotheses of the Chi-squared test with simultaneous opinion on
the ten hypotheses (1 H, 2 H, 3 H, 4 H, 5 H, 6 H, 7 H, 8 H, 9 H,
10 H). To these hypotheses, some selected questions from the
questionnaire are included in the text, which contained 29
questions in total.
1 H (Question 3: How do you evaluate your current health
condition?). We found out that when evaluating their current
health condition, most students find themselves healthy, but
48.3% feel healthy, but they are aware of their weaker condition.
Another 26.5% of students feel healthy with good condition.
19.6% of female students have minor health problems, 3.1% of
female students are often sick and only 2.5% of female students
have serious health problems (Graph 1). Based on the
assessment in the form of zero and alternative Chi-squared test
hypotheses we note that there are no statistically significant
dependencies in the assessment of their health status among
bachelor and master students in the form of a zero hypothesis,
but there are statistically significant dependencies in the
assessment as an alternative hypothesis.
Graph 1
2 H (Question 5: How many times a day do you eat?) We found
out that female students eat mostly 4 to 5 times a day (74.3%),
followed by female students who eat 5 to 6 times a day (14.8%)
and 10.9% of female students eat 1-2 times a day. The research
indicated that nearly half of the students cook by themselves
from the food they brought from home and bought in the store
(Graph 2). At the same time, we note that there are no
statistically significant addictions at frequencies of eating among
bachelor and master students in the form of a zero hypothesis,
but there are statistically significant dependencies on the
significance level of 0.05 when assessed as an alternative
hypothesis.
- 187 -