| H0: EDL - ETrad = 0 (proportions are statistically equal) |
| Confidence interval: 95% (z* = 1,96) |
| Difference between variances |
| Variance (distance learning} = 0,00013 |
| Variance (traditional learning) = 0,00008 |
| Sum of variances = 0,00022 |
| Difference deviation = 0,01466 |
| z = 0,67257 |
| As (-z* < z < z*), we don’t have enough eeidenceto refuse H0 |
| H0: EDL - ETrad = 0 (proportions are statistically equal) |
| Confidence interval: 95% (z* = 1,96) |
| Difference between variances |
| Variance (distance learning} = 0,00013 |
| Variance (traditional learning) = 0,00008 |
| Sum of variances = 0,00022 |
| Difference deviation = 0,01466 |
| z = 0,67257 |
| As (-z* < z < z*), we don’t have enough eeidenceto refuse H0 |
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