Based on the data, we cannot conclude that there is a significant difference in the percentage of mothers who graduate from college between 1996 and 2000.
Sure, let's conduct a hypothesis test to see if there is a significant difference in the percentage of mothers who graduate from college between 1996 and 2000.
**Null hypothesis:** p_1996 == p_2000 (There is no difference in the percentage of mothers who graduate from college between 1996 and 2000.)
**Alternative hypothesis:** p_1996 < p_2000 (The percentage of mothers who graduate from college is increasing.)
We will use a significance level of α = 0.01.
**Data:**
| Year | Sample size (n) | Proportion of mothers with college degree (p) |
|---|---|---|
| 1996 | 8368 | 0.31 |
| 2000 | 8368 | 0.32 |
**Pooled proportion:**
p_pooled = (n_1996 * p_1996 + n_2000 * p_2000) / (n_1996 + n_2000) = 0.315
**Test statistic:**
z = (p_2000 - p_pooled) / np.sqrt(p_pooled * (1 - p_pooled) * (1 / n_1996 + 1 / n_2000)) = 0.45
**Critical value:**
z_critical = stats.norm.ppf(1 - α / 2) = 2.326
**Decision:**
Since |z| < z_critical (0.45 < 2.326), we fail to reject the null hypothesis. There is not enough evidence to suggest that the percentage of mothers who graduate from college is increasing between 1996 and 2000.
**Conclusion:**
Based on the data, we cannot conclude that there is a significant difference in the percentage of mothers who graduate from college between 1996 and 2000.