In this assignment, the Afrobarometer dataset has been used. The two variables of interest are healthcare services from country by region and Country's economic condition. Basically, country by region is aimed at measuring different occurrences of social changes from different regions of the continent. These regions are West Africa, East Africa, Southern Africa and North Africa, (Ifinedo, 2005). Through these regions, levels of social change and its implications can be determined hence deriving a conclusion. The second variable which is Country's economic condition is aimed at measuring the level of economic growth from every country. The study populations have an opportunity to give their opinions as far as the country’s economic growth is concerned, (Borjas, 2008).
In table 1, the mean score of the economic condition is 2.51 with a standard deviation of 1.235. The mode and range of economic condition is 2 and 4 respectively. In addition, the maximum and minimum values of economic conditions are 1 and 5 respectively.
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Table 1: Statistics |
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| Q3a. Country's present economic condition | |||
| N | Valid |
50727 |
|
| Missing |
860 |
||
| Mean |
2.51 |
||
| Mode |
2 |
||
| Std. Deviation |
1.235 |
||
| Range |
4 |
||
| Minimum |
1 |
||
| Maximum |
5 |
||
|
Q3a. Country's present economic condition |
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|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
||||||
| Valid | Very Bad |
13314 |
25.8 |
26.2 |
26.2 |
||||
| Fairly bad |
14882 |
28.8 |
29.3 |
55.6 |
|||||
| Neither good nor bad |
8143 |
15.8 |
16.1 |
71.6 |
|||||
| Fairly good |
12079 |
23.4 |
23.8 |
95.4 |
|||||
| Very good |
2309 |
4.5 |
4.6 |
100.0 |
|||||
| Total |
50727 |
98.3 |
100.0 |
||||||
| Missing | Missing |
13 |
.0 |
||||||
| Don't know |
847 |
1.6 |
|||||||
| Total |
860 |
1.7 |
|||||||
| Total |
51587 |
100.0 |
|||||||
The results also show that the mean of country by region when it comes to access of healthcare services is 2.21 with a standard deviation of 1.069. The mode is 1 while the range stands at 3. The minimum and maximum values are 1 and 4 respectively.
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Table 2: Statistics |
|||
| Country by region | |||
| N | Valid |
51587 |
|
| Missing |
0 |
||
| Mean |
2.21 |
||
| Mode |
1 |
||
| Std. Deviation |
1.069 |
||
| Range |
3 |
||
| Minimum |
1 |
||
| Maximum |
4 |
||
| Percentiles | 25 |
1.00 |
|
| 50 |
2.00 |
||
| 75 |
3.00 |
||
Healthcare services by region |
|||||||||
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
||||||
| Valid | West Africa |
19196 |
37.2 |
37.2 |
37.2 |
||||
| East Africa |
8399 |
16.3 |
16.3 |
53.5 |
|||||
| Southern Africa |
18003 |
34.9 |
34.9 |
88.4 |
|||||
| North Africa |
5989 |
11.6 |
11.6 |
100.0 |
|||||
| Total |
51587 |
100.0 |
100.0 |
||||||
The implication for social change can be established based on the developed region of the country. Through, a focus can be put in regions of the continent which are not adequately developed.
The implication for social change can be established based on the developed region of the country, ( Furtado, 2018) . Through, a focus can be put in regions of the continent which are not adequately developed.
References
Borjas, G. J. (Ed.). (2008). Issues in the Economics of Immigration . University of Chicago Press.
Furtado, C. (2018). Economic Development of Latin America. In Promise Of Development (pp. 124-148). Routledge.
Ifinedo, P. (2005). Measuring Africa's e-readiness in the global networked economy: A nine-country data analysis. International Journal of Education and development using ICT , 1 (1), 53-71.
