\f1. Create a frequency distribution for the new daily cases of COVID 19 in September in Canada. 2. Graph the relative frequencies for the new daily cases of COVID 19 in September in Canada. 3. Find the average daily new cases, deaths, recoveries and tests of COVID 19 in September in Canada. 4. Find the standard deviation for the daily new cases, deaths, recoveries and tests of COVID 19 in September in Canada. 5. Determine the coefficient of skewness of the data for daily recoveries of COVID 19 in September in Canada. 6. What was the percent of a positive test result of COVID 19 in September in Canada? 7. Using this probability what are the chances of each scenario: a. Of the next 12 people tested none test positive b. Of the next 12 people tested 2 test positive c. Of the next 12 people tested 2 or more test positive d. Of the next 12 people tested less than 2 test positive 8. Using the daily tests average and standard deviation in September, what is the probability that a day in September will have: a. Less than 60,000 tests b. More than 120,000 tests Between 80,000 and 90,000 tests 9. Using the daily new cases average and standard deviation in September, what would be the number of daily new cases to be in the top 5% of days? 10. The average daily deaths in Canada throughout the pandemic was 46.4 with a standard deviation of 47.4. What is the probability that September's data represents the population? 11. Using September's data on deaths as a sample construct a 99%% confidence interval a. Assuming it is the entire population b. Assuming it is only a sample of the population 12. Determine an appropriate sample size if the acceptable error was 5 deaths per day. 13. Using the positive test rate for September, find the probability that less than five out of the next 50 people tested will be positive. 14. During September, you surveyed 2000 people who had a COVID 19 test in Ontario and found that 180 had a positive result. What is the probability that this surveyrepresents all of Canada for September? Suggest ways in which you could improve on your survey. 15. Construct a 95% confidence interval for the studies proportion in September a. using the national proportion b. using only the Ontario sample proportion 16. Determine an appropriate sample size if the acceptable error was 1%. 17. Use Hypothesis testing to compare August's average daily cases (see below) to September. 18. Determine the line of best fit for daily deaths in September and the correlation. If this equation holds when will deaths become zero? Is this a realistic assumption? 19. Performa chi-square test on the data comparing total new cases in August, September and October in Canada against total new cases in Australia and the Ireland. Is there a relationship? Country August September October Canada 58635 91859 Australia 20710 52080 64849 Ireland 51471 37485 55662