Data on the yearly sales of ginger of the
ginger farmers association (GFA) of kaura local government in kaduna state
Nigeria between 2002 - 2016.
Research Carried out by ISAAC
|
TOTAL YEARLY SALES
|
TOTAL NO.OF REG.GINGER FARMERS
|
|
121
|
30
|
|
121
|
35
|
|
131
|
41
|
|
139
|
45
|
|
150
|
49
|
|
208
|
51
|
|
273
|
55
|
|
313
|
60
|
|
343
|
70
|
|
351
|
85
|
|
390
|
90
|
|
440
|
109
|
|
475
|
120
|
|
490
|
135
|
|
579
|
150
|
The scattered plot
between the total number of registered ginger farmers and the total yearly
sales (per 40kg of bag) in the fifteen years under study is as shown below.
From the
scattered plot above it is observed that as the total number of registered
ginger farmers increases so also, the total yearly output also increase thereby
signifying the presence of some linear correlation among the variables under
study.
Correlations analysis of the total yearly
sales of Ginger per 40kg bag and total number of registered Ginger farmers
TABLE 4.11
|
Descriptive
Statistics
|
|||
|
|
Mean
|
Std. Deviation
|
N
|
|
Total yearly sales
|
301.60
|
152.855
|
15
|
|
Total no of reg. farmers
|
75.00
|
38.092
|
15
|
TABLE 4.12
|
Correlations
|
|||
|
|
Total yearly output
|
Total no of reg. farmers
|
|
|
Total yearly sales
|
Pearson Correlation
|
1
|
.967**
|
|
Sig. (2-tailed)
|
|
.000
|
|
|
N
|
15
|
15
|
|
|
Total no of reg. farmers
|
Pearson Correlation
|
.967**
|
1
|
|
Sig. (2-tailed)
|
.000
|
|
|
|
N
|
15
|
15
|
|
|
*. Correlation is significant at the 0.05 level (2-tailed).
|
|||
Hypothesis.
H0 : = 0, The population correlation
coefficient is equal to zero (there is no association).
H1 : 
0, The population correlation
coefficient is not equal to zero ( there is association).
0, The population correlation
coefficient is not equal to zero ( there is association).
Conclusion : From the scattered plot above and
the value of the correlation p = (0.967)
0.05 as
computed above, we therefore reject H0, Hence conclude that the
population correlation coefficient is not equal to zero. So therefore the
correlation is significant at 
which shows that there is a strong positive
correlation between the total number of registered ginger farmers and the
yearly sales in the fifteen years under study.
0.05 as
computed above, we therefore reject H0, Hence conclude that the
population correlation coefficient is not equal to zero. So therefore the
correlation is significant at which shows that there is a strong positive
correlation between the total number of registered ginger farmers and the
yearly sales in the fifteen years under study.
Please note: The analysis carried out were done
using the statistical package for social sciences (SPSS).
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