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Management data analysis

write a report on research topic of your choice.
the report must analyse original data that you gathrered from your survey. word count 1,500 including tables and diagrams.
In this study, the researcher undertook a study on the factors that influence the general public in regards to whether or not they recycle waste. The following are the questions that were asked to a total of 35 participants:
Question 1:  Do you support the companies re-cycling policy?
Question 2:  How much waste did you produce in a usual day before introduction
of the central waste bins?
Question 3:  What is your job function?
Question 4:  Are the central waste re-cycling bins positioned conveniently for your
use? (1 = yes, close enough, 3 = No, too far away)
Question 5:  What is your age?
Question 6:  How many times per week do you deposit waste?
The following table shows the results of the survey:

Employees
Gender
Q 1
Q2
Q3
Q4
Q5
Q6

1
Male
yes
1
1
1
23
3

2
Male
yes
2
3
1
45
12

3
Male
No
2
3
3
38
6

4
Female
Yes
1
2
3
52
4

5
Female
No
3
2
3
28
5

6
Male
yes
3
2
1
18
7

7
Female
yes
3
3
3
27
8

8
Female
 
3
3
2
33
6

9
Male
No
2
3
3
56
17

10
Male
Yes
2
3
3
63
21

11
Female
Yes
1
1
3
39
2

12
Female
Yes
1
1
1
40
7

13
Female
Yes
1
1
1
33
5

14
Male
no
1
3
3
22
5

15
Male
yes
1
1
3
20
18

16
Female
Yes
2
3
1
18
4

17
Male
No
3
3
3
34
9

18
Male
No
3
2
1
50
12

19
Female
no
3
2
3
52
19

20
Female
Yes
2
2
1
61
13

21
Male
Yes
2
2
1
56
4

22
Male
no
1
2
3
44
15

23
Female
Yes
1
3
3
42
17

24
Female
Yes
1
3
1
19
17

25
Male
No
1
2
3
26
10

26
Male
No
1
1
1
23
3

27
Male
Yes
2
3
1
45
12

28
Male
no
2
3
3
38
6

29
Female
No
1
2
3
52
4

30
Female
No
3
2
3
28
5

31
Male
no
3
2
1
18
10

32
Female
No
3
3
3
27
8

33
Female
no
3
2
3
33
6

34
Male
Yes
2
3
3
20
10

35
Male
yes
2
3
3
63
23

Table1: survey results

Null hypothesis:There is enough evidence to show that support for the new waste policy was related to the volume of waste produced prior to the policy’s introduction.
                

Table 2: Model Summary

Model
R
R Square
Adjusted R Square
Std. Error of the Estimate

1
.025a
.001
-.030
5.81551

a. Predictors: (Constant), How much waste did you generate on a typical day

 
 

Table 3: ANOVAa

Model
Sum of Squares
df
Mean Square
F
Sig.

1
Regression
.679
1
.679
.020
.888b

Residual
1116.063
33
33.820
 
 

Total
1116.743
34
 
 
 

a. Dependent Variable: How many times per week do you visit the central re-cycling bins?

b. Predictors: (Constant), How much waste did you generate on a typical day?

 
               The goodness of the model is represented by correlation of coefficient (R squared), which is 0.001. Ordinarily, this measurement ranges from -1.0 to +1.0, and the “closer r is to +1 or -1; the more closely the two variables are related” (Conover, 1980, p. 263). Apparently, ‘r’ is very close to zero, which means that the two variables have no relationship. In other words, support for the new waste policy has no statistical relationship with the volume of waste produced prior to the policy’s introduction. In addition, the p-value can be used to establish if there is a significant relationship between the two variables. In this case, the p-value is 0.88 (Table 2). This figure is way above 0.001, hence leading to the conclusion that there is no enough evidence to show that support for the new waste policy was related to the volume of waste produced prior to the policy’s introduction.
Null hypothesis: there is enough evidence to show that support for the new waste policy was related to the convenience of the re-cycling bins’ location? Perform statistical tests to investigate these questions fully.
 
Assumption:
3 = yes, close enough, 1 = No, too far away (this means that a positive correlation should imply that support for new policy in positively related with convenience).

Table 4: Model Summary

Model
R
R Square
Adjusted R Square
Std. Error of the Estimate

1
.173a
.030
.001
5.72905

a. Predictors: (Constant), Are the central waste re-cycling bins positioned conveniently?

 

Table 5: ANOVAa

Model
Sum of Squares
df
Mean Square
F
Sig.

1
Regression
33.616
1
33.616
1.024
.319b

Residual
1083.127
33
32.822
 
 

Total
1116.743
34
 
 
 

a. Dependent Variable: How many times per week do you visit the central re-cycling bins?

b. Predictors: (Constant), Are the central waste re-cycling bins positioned conveniently?

 
            The coefficient of correlation between convenience of the re-cycling bins’ location and support for the new waste policy is 0.03, which means that when the location is more convenient, less people will support the policy………………………………………………
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