Learning How to Analyze the Data

Over the last week our team has been learning about how to analyze the data that we will collect next semester. We learned about several data analysis skills and tools to analyze quantitative and qualitative  data. For quantitative data analysis, there are two major categories of statistical tools: descriptive statistics (e.g., mean, standard deviation, percentage, and correlation coefficient) and inferential statistics (e.g., t-test, sign test, Mann-Whitney U-test, and chi square analysis). For qualitative data, we learned about several strategies, such as organizing the data; generating categories, themes, and patterns; and testing emergent hypotheses. This week we are meeting to decide which tools we will use to collect data and how we will analyze the data.