You teach at an online school, and your principal, Erica Jimenez, is considering starting a weekly data meeting where teachers can discuss the data and trends that they have recently observed in the classroom. She has asked you to lead the first meeting to see if it is an idea that interests other teachers, as she knows you’re interested in data analysis. Your class of 26 students has just completed a 50-question assessment. This assessment was a simulation in preparation for the upcoming state assessment for your content. You decide that it would be the perfect data to analyze and use for an example at the meeting. Ultimately, you also want to show that the analysis has an important end goal of taking actionable steps through the creation of a remediation plan. You decide to provide your colleagues with copies of both an assessment data analysis and a remediation plan specific to online students. It is important to fully understand the data first, so you will begin with the analysis. Then you will show how you use that data to create an actionable remediation plan for both individual students and groups of students. You will create these two documents in order to prepare for the first weekly data meeting. Directions To prepare for the first data meeting that Erica wants to host, you will submit an assessment data analysis and a remediation plan. The data set that you will analyze is attached. Complete the following: Part 1: Assessment Data Analysis In your analysis, you must include the following: o Descriptive Statistics: Using a tool such as Microsoft Excel or Google Sheets, calculate the descriptive statistics of the data set. This analysis can be done on questions and overall scores. You must analyze at least five questions in addition to an overall statistical analysis. Include your calculations and a one-sentence description of what each statistic means for the following: o Mean o Mode o Standard deviation o Shape of the distribution o Interquartile range o Range o Statistical Analysis: Provide a thorough analysis that details what the descriptive statistics mean. Consider the following questions: • How do the descriptive statistics help provide context to the data? • What information can be gleaned from the descriptive statistics? o Trends and Observations: Consider the overall trends and observations based on your data analysis. Include the following: • Areas of Success: According to the data, the students were most successful in which areas? How do you know? o Areas of Improvement: According to the data, the students were least successful in which areas?