Analysis of objective I
Objective I
To
find out if there is existence of health implication in Otor-Iwhreko Sawmill
industry.
find out if there is existence of health implication in Otor-Iwhreko Sawmill
industry.
Hypothesis I
Ho:
There are no existence of health implication in Otor-Iwhreko sawmill
industries.
There are no existence of health implication in Otor-Iwhreko sawmill
industries.
Ha:
There are existences of health implication in Otor-Iwhreko sawmill industries.
There are existences of health implication in Otor-Iwhreko sawmill industries.
Questions
1, 2 and 3, in the questionnaire are set of related questions that represent
the data for treatment of the above stated hypothesis as shown in table 4.1
below.
1, 2 and 3, in the questionnaire are set of related questions that represent
the data for treatment of the above stated hypothesis as shown in table 4.1
below.
Table 4.1: Respondent view on research
question I
question I
|
S/N
|
QUESTION
|
YES
|
NO
|
TOTAL
|
|
1
|
Does
health hazard exist in Otor-Iwhreko sawmill industries? |
68
|
32
|
100
|
|
2
|
Are
sawmill workers prone to health hazard in the industries? |
58
|
42
|
100
|
|
3
|
Is
the solid waste generated properly disposed off from the sawmill industries? |
26
|
74
|
100
|
|
Total
|
152
|
148
|
300
|
|
Table
4.1 Shows that the total respondents that responded “yes” to the set questions
is equal to 152 which respondent 50.67% while those that responded “No” is
equal to 148 representing 49.33%. the calculated Chi-square (X2)
value is equal to 38.514 while the table value of X2 = 0.05 at 2df
is 5.991.
4.1 Shows that the total respondents that responded “yes” to the set questions
is equal to 152 which respondent 50.67% while those that responded “No” is
equal to 148 representing 49.33%. the calculated Chi-square (X2)
value is equal to 38.514 while the table value of X2 = 0.05 at 2df
is 5.991.
Applying
decision rule since the calculated value is > than the table value, the null
hypothesis was rejected and the alternate was accepted, which shows that there
are existence of health implication in Otor-Iwhreko sawmill industries.
decision rule since the calculated value is > than the table value, the null
hypothesis was rejected and the alternate was accepted, which shows that there
are existence of health implication in Otor-Iwhreko sawmill industries.
Analysis of objective II
Objective II
To
ascertain the causes of hazard in sawmill industry
ascertain the causes of hazard in sawmill industry
Hypothesis II
Ho:
There are no causes of hazards in sawmill industries in the community.
There are no causes of hazards in sawmill industries in the community.
Ha:
There are causes of hazards in sawmill industries in the community.
There are causes of hazards in sawmill industries in the community.
Questions
4, 5 and 6 in the questionnaire are set of related question that represent the
data for the treatment of the above stated hypothesis as shown in table 4.2
below.
4, 5 and 6 in the questionnaire are set of related question that represent the
data for the treatment of the above stated hypothesis as shown in table 4.2
below.
Table 4.2 Respondent view on research
question II
question II
|
S/N
|
QUESTION
|
YES
|
NO
|
TOTAL
|
|
4
|
Do
Otor-Iwhreko sawmill industries have adequate health facilities? |
20
|
80
|
100
|
|
5
|
Does
inadequate skilled personnel affect optional performance of sawmill industries? |
57
|
43
|
100
|
|
6
|
Do
sawmill workers wear personal protective equipment? |
24
|
76
|
100
|
|
|
Total
|
101
|
199
|
300
|
Table
4.2 Shows that the total respondent that responded “yes” to the set question is
equal to 101 which represent 33.67% while those that responded “no” is equal to
199 which represent 66.33%. The calculated Chi-square (X2) value of
X2 = 0.05 at 2df is 5,991.
4.2 Shows that the total respondent that responded “yes” to the set question is
equal to 101 which represent 33.67% while those that responded “no” is equal to
199 which represent 66.33%. The calculated Chi-square (X2) value of
X2 = 0.05 at 2df is 5,991.
Applying
the decision rule, since the calculated value is > than the table value, the
null hypothesis was rejected and the alternate was accepted, which shows that
there are causes of hazards in sawmill industries in the community.
the decision rule, since the calculated value is > than the table value, the
null hypothesis was rejected and the alternate was accepted, which shows that
there are causes of hazards in sawmill industries in the community.
Analysis of objective III
Objective III
To
find out the effect of sawmill industries on human and its environment.
find out the effect of sawmill industries on human and its environment.
Hypothesis III
Ho:
Sawmill activities have no effect on the people
Sawmill activities have no effect on the people
Ha:
Sawmill activities have effect on the people
Sawmill activities have effect on the people
Questions
7, 8 and 9 in the questionnaire are set of related questions that represent the
data for the treatment of the above stated hypothesis as shown in table 4.3 below.
7, 8 and 9 in the questionnaire are set of related questions that represent the
data for the treatment of the above stated hypothesis as shown in table 4.3 below.
Table
4.3 Respondent view on research question III
4.3 Respondent view on research question III
|
S/N
|
QUESTION
|
YES
|
NO
|
TOTAL
|
|
7
|
Doe
noise generated in sawmill industries cause health problem to human? |
56
|
44
|
100
|
|
8
|
Does
waste generated in Otor-Iwhreko sawmill constitute nuisance? |
27
|
73
|
100
|
|
9
|
Does
injuries and disease result from sawmill operation? |
60
|
40
|
100
|
|
Total
|
143
|
157
|
300
|
|
Table
4.3 shows that the total respondent that responded “yes” to the set of related question
is equal to 143 which represent 47.67% while those that responded “no” is equal
to 157 which represent 52.33%. The calculated Chi-square (X2) value
is equal to 26.0 while the table value of X2 = 0.05 at 2df is 5.991.
4.3 shows that the total respondent that responded “yes” to the set of related question
is equal to 143 which represent 47.67% while those that responded “no” is equal
to 157 which represent 52.33%. The calculated Chi-square (X2) value
is equal to 26.0 while the table value of X2 = 0.05 at 2df is 5.991.
Applying
the decision rule, since the calculated value is > than the table value, the
null hypothesis was rejected and the alternate was accepted which shows that
sawmill activities have effect on the people.
the decision rule, since the calculated value is > than the table value, the
null hypothesis was rejected and the alternate was accepted which shows that
sawmill activities have effect on the people.
Analysis of objective IV
Objective IV
To
find out the possible ways of improving the standard of sawmill industries.
find out the possible ways of improving the standard of sawmill industries.
Hypothesis IV
Ho:
There are no possible ways of improving the standard of sawmill industries in
the community
There are no possible ways of improving the standard of sawmill industries in
the community
Ha:
There are possible ways of improving the
standard of sawmill industries in the community.
There are possible ways of improving the
standard of sawmill industries in the community.
Questions
10, 11 and 12 in the questionnaire are set of related questions that represent
the data for the treatment of the above stated hypothesis as shown in table 4.4
below.
10, 11 and 12 in the questionnaire are set of related questions that represent
the data for the treatment of the above stated hypothesis as shown in table 4.4
below.
Table 4.4 respondent view on research
question IV
question IV
|
S/N
|
QUESTION
|
YES
|
NO
|
TOTAL
|
|
10
|
Will
the provision of health facilities help to improve the standard of sawmill industries? |
53
|
47
|
100
|
|
11
|
Are
there public enlightment campaign to health educate workers and the community on the hazard associated with sawmill industries? |
12
|
88
|
100
|
|
12
|
Will
the provision of well designed incinerator within the vicinity of Otor-Iwhreko sawmill industries help to improve its standard? |
60
|
40
|
100
|
|
Total
|
125
|
175
|
300
|
|
Table
4.4 shows that the total respondent that responded “yes” to the set of related
questions is equal to 125 which represent 41.67% while those that responded “NO”
is equal to 175 which represent 58.33%.
4.4 shows that the total respondent that responded “yes” to the set of related
questions is equal to 125 which represent 41.67% while those that responded “NO”
is equal to 175 which represent 58.33%.
The
calculated Chis-quare (X2) value is equal to 55.32 while the table
value of X2 = 0.05 at 2df is 5.991.
calculated Chis-quare (X2) value is equal to 55.32 while the table
value of X2 = 0.05 at 2df is 5.991.
Applying
the decision rule, since the calculated value is > than the table value, the
null hypothesis was rejected and the alternate was accepted which shows that
there are possible ways of improving the standard of sawmill industries in the
community.
the decision rule, since the calculated value is > than the table value, the
null hypothesis was rejected and the alternate was accepted which shows that
there are possible ways of improving the standard of sawmill industries in the
community.