Model Building Introduction In data analytics, model building refers to assembling the needed data and analyzing it to address your identified problem. For this second course project assignment, you will complete one statistical analysis for your quantitative data and one content analysis for your qualitative data from the previous project assignment. Statistical and Content Analyses Work with your group on developing the following analyses based on the data from your previous project assignment. You can schedule a time to work together in real time, or work on the analyses individually and provide each other with feedback. Statistical analysis: Identify the specific analysis type (such as an independent samples t test, paired sample t test, or one-way ANOVA) and explain why it is appropriate. Assume that you have a sufficient sample size for your analysis (normally, you would need to conduct a power analysis to ensure this). Conduct the analysis in Microsoft Excel or comparable software. Note: If you use software other than Excel, make sure the files that the program generates can be read in the courseroom (PDF, JPEG, XLS, and PNG formats should be acceptable). Present the results and explain if they are statistically significant or not. Content analysis: Explain the purpose of content analysis. Identify the qualitative data that you are analyzing and present the analysis. Identify at least one theme from your data, present quotes from the transcripts as examples, and explain the theme and how it helps you better understand the experiences of the teens.