Question: EIN3235 Course Project Assignment The data file that is provided to you is number of COVID-19 cases reported at different colleges on November 5th 2020.

EIN3235 Course Project Assignment The data file
EIN3235 Course Project Assignment The data file that is provided to you is number of COVID-19 cases reported at different colleges on November 5th 2020. Use this data file and perform the following data analysis by using statistical software like MiniTab, Excel: Tasks 1. Take 10 simple random sample (SRS) each of size of 5, calculate the mean of COVID-19 cases for each sample. Find the distribution of sample means. 2. Take 10 simple random sample (SRS) each of size of 31, calculate the mean of COVID-19 cases for each sample. Find the distribution of sample means. 3. Take one simple random sample (SRS) each of size of 50, calculate the mean and standard deviation of COVID-19 cases for this sample. Use this sample's information to find the 95% CI of population mean. Find the population mean u. Is it included in the 95% CI that you calculated? 4. Use one of graphical summary options like, bar chart or pie chart and show the total number of cases for each state. 5. Select 10 colleges, and look up the total student population for each. Is there a correlation between the number of cases and student population? Explain. You will submit one project report per team by using the link in canvas for your team. Each team will consist of 5 students. The Final Project Report must be typed, it must include the followings: Cover page with students' names, and the task number assigned to each student. Data Analysis Explain what method you used for taking random samples. The probability plot and histogram for task 1. Specify the sample mean distribution and explain your results. The probability plot and histogram for task 2. Specify the sample mean distribution and explain your results. Show detailed calculations for task 3. The chart for task 4. Explain your chart. The least square line and correlation coefficient for task 5. Explain your results

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