INTRODUCTION TO QUANTITATIVE ANALYSIS: DESCRIPTIVE ANALYSIS

Introduction to Quantitative Analysis: Descriptive Analysis Student Names Affiliation Course Number and Name Instructor Name Due Date Introduction to Quantitative Analysis: Descriptive Analysis In this week 2 discussion, I used the HS Long Survey Dataset. I also used the same variables I used in week 2, where the categorical variable was “T1 Parent 1: highest level of education” (X1PAR1EDU), and the continuous variable was “T1 Socio-economic status composite”(X1SES). The mean of X1SES was 0.0553, derived from 4,279 valid cases, and 2.99, derived from 3332 valid cases. Categorical Variable The findings indicate that the most frequent level of education among parents was "High school diploma or GED," with a mode of 2 and a median of 3. The dataset contained 3,332 valid cases, with a mean of 2.99, a standard deviation of 1.371, and a range of 6. The data distribution displayed slight positive skewness at 0.826, meaning that lower levels of parental education were more frequent. The kurtosis value of 0.447 suggests a relatively normal distribution. The bar graph in Fig. 1 shows that 40.2% of parents had a high school diploma or GED. Only 3.4% held a Ph.D., M.D., law, or other high-level professional degree. These statistics show a potential disparity in educational attainment among parents, which may ultimately affect their children's academic expectations and opportunities. The missing data accounted for 29.1% of the cases, which should be considered when analyzing the overall distribution. These results emphasize the importance of educational policies that encourage higher education attainment among parents, as parental education can influence children's academic success and socioeconomic mobility (Davis-Kean et al., 2021). Governments and organizations can implement programs aimed at adult education and continuous learning opportunities, especially targeting low-income and underprivileged communities. Table 1 Categorical Variable: X1PAR1EDU ...