4. Organize the data into a frequency distribution. Discuss the following points as part of the process. How many classes would you recommend? Use the guidelines discussed in class and support your recommendation. What class interval would you suggest? Use the guidelines discussed in class and provide calculations to support your recommendation. What lower limit would you recommend for the first class? Support your recommendation. 5. Use the frequency distribution to plot an appropriate graph for the data. 6. Where do the values tend to cluster for your data? Provide a range of values and discuss their significance as it pertains to your particular data set. 7. Are there any trends in the data? For example, describe its shape or distribution. K R U V Lower Class Limit Upper Class Limit Bin 100 1000 1000 1000 2000 2000 2000 3000 3000 3000 4000 4000 4000 5000 5000 5000 6000 6000 The COVID 19 Cases of Afghanistan starting April 1 to May 20, 6000 7000 7000 2020 for a sample of 50 data points is summarized below: 7000 8000 8000 8000 9000 9000 Number of Class Class Interval (COVID-19 CASES) Frequency Midpoint Product Relative Frequenc Relative Frequency (% Cumulative Frequency 1. 100 to under 1000 19 600 11400 0.38 38% 19 1000 to under 2000 10 2000 20000 0.2 20% 29 The mean minimum cases is 173,900/50=3478. The median class is 4. The modal class is 3000 to under 4000. It is positively skewed. 3 2000 to under 3000 3500 17500 0.1 10% 15 4 3000 to under 4000 4 5000 20000 0.08 8% 4000 to under 5000 4 6500 26000 0.08 8% 8 6 5000 to under 6000 2 8000 16000 0.04 4% 6 7 6000 to under 7000 9500 28500 0.06 6% 5 7000 to under 8000 2 11000 22000 0.04 4% 9 8000 to under 9000 12500 12500 0.02 2% 45 50 173900 1 100%