Week 9 Assignment: ANOVA The purpose of this analysis is to assess whether the highest year of school

Week 9 Assignment: ANOVA

The purpose of this analysis is to assess whether the highest year of school completed varies significant by race. In the context of this analysis, the independent variable is RACE (which is measured at the nominal level, White = 1, Black =2, Other = 3). The dependent variable in the analysis is EDUC (which is measured at the ratio level). An ANOVA will be used to assess if RACE has a significant effect on EDUC. The test requires two assumptions: equality of variances and normality

The descriptive statistics of highest year of school completed by race are displayed below, in Table 1.

Table 1: Descriptive Statistics of EDUC by MARITAL
	RACE OF RESPONDENT			Statistic	Std. Error
HIGHEST YEAR OF SCHOOL COMPLETED	WHITE	Mean		13.82	.083
		95% Confidence Interval for Mean	Lower Bound	13.66
			Upper Bound	13.99
		5% Trimmed Mean		13.86
		Median		14.00
		Variance		8.050
		Std. Deviation		2.837
		Minimum		1
		Maximum		20
		Range		19
		Interquartile Range		4
		Skewness		-.204	.071
		Kurtosis		.861	.142
	BLACK	Mean		13.16	.181
		95% Confidence Interval for Mean	Lower Bound	12.81
			Upper Bound	13.52
		5% Trimmed Mean		13.17
		Median		13.00
		Variance		7.039
		Std. Deviation		2.653
		Minimum		2
		Maximum		20
		Range		18
		Interquartile Range		2
		Skewness		-.136	.166
		Kurtosis		1.903	.330
	OTHER	Mean		13.26	.364
		95% Confidence Interval for Mean	Lower Bound	12.54
			Upper Bound	13.98
		5% Trimmed Mean		13.44
		Median		14.00
		Variance		13.646
		Std. Deviation		3.694
		Minimum		0
		Maximum		20
		Range		20
		Interquartile Range		4
		Skewness		-.880	.238
		Kurtosis		2.066	.472