1)
Summary statistics for abort_circ:
Group by: race_ethnic

Descriptive Statistics
In all but the ‘White – NonHispanic’ category, the data (as shown in the bar chart) tends to have a positive skew and be clustered on the left side of the graph. Based on appearance, the ‘White – NonHispanic’ category distribution seems to be the most significantly different from the others and it most closely resembles a normal distribution, though its standard deviation is the highest at 2.58.
Hypotheses
Null: There is no difference between the abortion survey responses of those surveyed in each of the four racial groups (White  NonHispanic, Black, Hispanic, Other  NonHispanic).
H0: u1 = u2 = u3 = u4
Alternative: There is a difference between the abortion survey responses of those surveyed in each of the four racial groups.
H1: u1 /= u2 /= u3 /= u4
Means Plot
The means plot confirms that the greatest difference in means is between the ‘Hispanic’ and ‘White – NonHispanic’ categories. The ‘Hispanic’ category has the lowest mean of all four categories at 3.27, while the ‘White – NonHispanic’ category has the highest mean of all four categories at 3.82.
Analysis of Variance results:
Responses: abort_circ Factors: race_ethnic Response statistics by factor
ANOVA table

Results Interpretation
The resulting FStatistic F(obtained) is 9.53, and the PValue is <0.0001, which indicates that the differences between the categories are statistically significant, since it is less than alpha at 0.05. This result falls in the critical region and allows us to reject the null hypothesis and conclude that there is a significant difference in responses to the abortion survey based on race/ethnicity.
2)
Summary statistics for satisf_overall:
Group by: Bin(urban)

Descriptive Statistics
When looking at the summary statistics table and histogram, the mean (6.49) and median (6.6) score for those ages 75+ of overall satisfaction of life are clearly highest amongst those in urban areas. The means and medians of all the binned groups fell in the upper half of the survey results (17) which would indicate that the collective data is negatively skewed. There is a general trend, however, that as age increases, overall life satisfaction also increases.
Hypotheses:
Null: There is no difference in scores of the overall life satisfaction test for those surveyed in each of the four binned age groups (<25, 2550, 5075, 75+).
H0: u1 = u2 = u3 = u4
Alternative: There is a difference in scores of the overall life satisfaction test for those surveyed in each of the four binned age groups.
H1: u1 /= u2 /=u3 /=u4
Means Plot
The means plot confirms that there is a generally direct relationship between age and overall life satisfaction. Specifically, it emphasizes that the largest jump in mean response answers occurs between the third (5075) and fourth (75+) age groups, jumping from 5.37 to 6.49, perhaps in response to life events such as retirement.
Analysis of Variance results:
Responses: satisf_overall Factors: Bin(urban) Response statistics by factor
ANOVA table

Results Interpretation
The resulting FStatistic is 36.20, and the PValue is <0.0001, which indicates that the differences between the categories are statistically significant, since it is less than alpha at 0.05. This result falls in the critical region and allows us to reject the null hypothesis and conclude that there is a significant difference in responses to the overall life satisfaction survey for those of different age groups in urban areas.
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