A students success and beneficial academic performance depends on various factors. The following data was pulled from Kaggle. Graphs were used to represent the correlation between test scores and parental level of education, lunch type, race, test preparation, and gender. Students that were not taking a free/reduced lunch, had taken the preparation course, and had parents with an education level above high school were observed to have higher scores.
In most parental levels of education, male students seem to be receiving higher math scores; distribution of scores for students receiving a standard lunch is higher.
The sample size of each level of education could change interpretation, therefore:
