Table 6.
Probability of finding a tracer medicine in a public sector sample outlet, by rural and urban location and manufacturing origin, 2006 (40 medicines)
| Location | All medicines | Tanzanian medicines | Kenyan medicines | Other medicines | ||||
|---|---|---|---|---|---|---|---|---|
| Rural |
0.34 |
(0.011) |
0.206 |
(0.016) |
0.005 |
(0.003) |
0.12 |
(0.013) |
|
Sample size = 640 |
|
|
|
|
|
|
|
|
| Urban |
|
|
|
|
|
|
|
|
| Sample size = 600 |
0.59 |
(0.011) |
0.252 |
(0.017) |
0.038 |
(0.008) |
0.29 |
(0.018) |
| Difference |
-0.25 |
(0.0159) |
-0.045 |
(0.024) |
-0.034 |
(0.008) |
-0.17 |
(0.022) |
| z-test |
-8.9 |
-1.90 |
-4.13 |
-7.53 |
||||
| H0: Prural = Purban |
Pr(|Z| < |z|) = 0.0000 |
Pr(|Z| < |z|) = 0.057 |
Pr(|Z| < |z|) = 0.000 |
Pr(|Z| < |z|) = 0.0000 |
||||
| Ha : Prural ≠ Purban | Null hypothesis is rejected | Null hypothesis is accepted | Null hypothesis is rejected | Null hypothesis is rejected | ||||
Note: sampling error in brackets (in italics).