Make the body have a narrative story with the statistical analysis. Include only relevant statistics that you have used in your work.

For Covid Cases, the mean is 630739.2524 which indicates that the average number of active cases is 630739.2524. The median is 562756 which indicates that 50% of all the data has a value less than or equal to 562756. The data is right-skewed as the value of the mean is greater than the median. The values of quartiles are zero. The value of Q1 is 429123. The value of Q3 is 791520 which indicates that 75% of all the data has a value less than or equal to 791520. The value of IQR is 362397 which indicates that the range of the middle 50% of the number of deceased cases is 362397.

For Vaccinations, the mean is 8461679.518 which indicates that the average number of recovered cases is 8461679.518. The median is 10932736 which indicates that 50% of all the data has a value less than or equal to 10932736.The value of Q1 is 3861239 which indicates that 25% of all the data has a value less than or equal to 3861239. The value of Q3 is 12245171 which indicates that 75% of all the data has a value less than or equal to 12245171. The value of IQR is 8383932which indicates that the range of the middle 50% of the number of recovered Covid cases is 8383932. Furthermore, the correlation between the number of Covid cases and the number of vaccinations is 0.78923, which is positive. Hence, there exists a strong and positive correlation between the number of Covid cases and the number of vaccinations. Here, R^2=0.62289.

For Active Covid Cases, the mean is 4.9056 which indicates that the average number of active cases is 4.9056. Both the median and mode are 0. The data is right-skewed as the value of the mean is greater than the median. The values of quartiles are zero.

For Recovered Cases, the mean is 392.378 which indicates that the average number of recovered cases is 392.378. The median is 183.5 which indicates that 50% of all the data has a value less than or equal to 183.5. The values of mode are 17 and 1 which indicates the data is bimodal. The value of Q1 is 69 which indicates that 25% of all the data has a value less than or equal to 69. The value of Q3 is 502.5 which indicates that 75% of all the data has a value less than or equal to 502.5. The value of IQR is 433.5 which indicates that the range of the middle 50% of the number of recovered Covid cases is 433.5.

For Deceased Cases: The mean is 5.212009 which indicates that the average number of deceased cases is 5.212009. The median is 2 which indicates that 50% of all the data has a value less than or equal to 2. The value of Q1 is 0. The value of Q3 is 8 which indicates that 75% of all the data has a value less than or equal to 8. The value of IQR is 8 which indicates that the range of the middle 50% of the number of deceased cases is 8.

For Active Covid Cases, the mean is 4.8698 which indicates that the average number of active cases is 4.8698. Both the median and mode are 0. The data is right-skewed as the value of the mean is greater than the median. The values of quartiles are zero.

For Recovered Cases, the mean is 389.5145 which indicates that the average number of recovered cases is 389.5145. The median is 187.5 which indicates that 50% of all the data has a value less than or equal to 187.5. The values of mode is 1. The value of Q1 is 68 which indicates that 25% of all the data has a value less than or equal to 68. The value of Q3 is 511 which indicates that 75% of all the data has a value less than or equal to 511. The value of IQR is 443 which indicates that the range of the middle 50% of the number of recovered Covid cases is 443.

For Deceased Cases: The mean is 5.1739 which indicates that the average number of deceased cases is 5.1739. The median is 2 which indicates that 50% of all the data has a value less than or equal to 2. The value of Q1 is 0. The value of Q3 is 8 which indicates that 75% of all the data has a value less than or equal to 0. The value of IQR is 8 which indicates that the range of the middle 50% of the number of deceased cases is 8.

For male cases, the mean is 1121, median is 1129, and the mode is 311, 281, 291, 1868, 2008, 1980, 1129 which proves the mean is less than the median. Hence, the male cases are left skewedly distributed. For male population, the mean is 1039921.1428571, median is 679385, and mode is 370982, 550086, 679385, 2119703, 1913051, 1382440, 263801 which proves the mean is greater than the median. Hence, the data of male population are right skewedly distributed.Furthermore, when looking at the data, the quantitative measures do not apply. For categorical variable, the measures of central tendency, measures of variation, line of best-fit, correlation coefficient etc. do not apply. The value of the coefficient of determination is 0.88716 which indicates that 88.71% of the variation in the dependent variable is explained by the independent variable.

For female cases, the mean is 1775.14285, median is 1831, and the mode is 296, 274, 393, 3778, 3700, 2154, 1831 which proves the mean is less than the median. Hence, the female cases are left skewedly distributed. For female population, the mean is 1064938, median is 650094, and mode is 352034, 528441, 650094, 2032187, 1982450, 1517326, 392034 which proves the mean is greater than the median. Hence, the data of female population are right skewedly distributed. Furthermore, when analyzing the categorical data, the quantitative measures do not apply.For categorical variable, the measures of central tendency, measures of variation, line of best-fit, correlation coefficient etc. do not apply.

The mean in this case 900 which indicates that the average number of Covid cases in select locations is 900. The median is 580 which indicates that 50% of all the data has a value less than or equal to 580. The value of modes are 3961, 1243, 1091, 608,580,439, 150,18,10 which indicates the data is multi-model as the data contains more than four modalities. The standard deviation is 1157.41858 which means that the distance from the Covid case to the average Covid case is 1157.41858. The value of Q1 is 84 which indicates that 25% of all the data has a value less than or equal to 84. The value of Q3 is 1167 which indicates that 75% of all the data has a value less than or equal to 1167. The value of IQR is 1083 which indicates that the range of the middle 50% of the Covid cases in select locations is 1083. Overall, it can be concluded that the number of COVID cases were highest at the unidentified other's locations compared to known places. Probable contributors might be lack of hygiene, lack of awareness and lack of infrastructure.

For the Covid vaccinations in Ontario, the mean is 10725702, the median is 12184937 and the mode is 12649444, 12184937, 7342725. The average number of Covid vaccinations is 10725702 and the standard deviation is 2399630.7667582 The distance from the Covid vaccinations to the average Covid vaccinations is 2399630.7667582. For Covid vaccinations in Ontario, (Q2=12184937) 50% of the Covid vaccinations lies below 12184937. The number of people vaccinated at place with at least 1 dose is highest, followed by 2 doses, and 3 doses. For categorical variable, the measures of central tendency, measures of variation, line of best-fit, correlation coefficient etc. do not apply. The population of the study is the number of people vaccinated, and the sampling technique assumed is random. In absence of further information, type of bias cannot be determined.

For patients in the ICU, the mean is 28.2, median is 28.2 and mode is 48.3, 8.1. The average number of patients in ICU per 1 million is 28.2. The standard deviation is 20.1. The distance from the patients in ICU to the average number of patients in ICU is 20.1. For patients in ICU, (Q2=28.2) 50% of the patients in ICU lies below 28.2. For categorical variable, the measures of central tendency, measures of variation, line of best-fit, correlation coefficient etc. do not apply.

For hospitalized covid patients, the mean is 199.95, median is 199.95, and mode is 84.8, 315.1. The graph tells that the number of COVID 19 hospitalizations is higher (244.44%) for unvaccinated people compared to vaccinated people (with at least 2 doses). The measures of central tendency, linear regression equation, or measure of coefficient of determination do not apply in this case. The population in the given study is the number of patients hospitalized. There is no point in disbelieving that random sampling had been used to classify the data. In the case of randomization, the chance of error due to sampling bias is least. Future trends cannot be determined from the bar graph, but it can be said that vaccinated people have a lesser chance of hospitalization due to COVID 19 cases.

For Covid-19 Cases per 1 million, the mean is 132.95, median is 132.95, and mode is 164.3, 101.6. The graph showed that covid-19 cases among unvaccinated people were higher than among the people who have taken the covid-19 vaccine doses. The bar of unvaccinated people who suffered from covid-19 was higher or larger than the people who were vaccinated. This graph concludes that people who have taken two or more than two covid-19 vaccines had lower covid-19 infection than people who were unvaccinated. It means vaccines are helping people to fight against the covid-19 virus or vaccines is helpful against the impact of the covid-19 virus. For categorical variable, the measures of central tendency, measures of variation, line of best-fit, correlation coefficient etc. do not apply.

For New tests, the mean is 33295.641, and median is 29684. Since the mean is greater than the median, the data of new tests is right skewedly distributed. For daily percentage of positive cases, the mean is 7.15144, median is 4.3 and mode is 1.8. As the mean is greater than the median and mode, the daily percentage of positive cases is right skewedly distributed. Furthermore, for total tests, the mean is 17129490.74 and median is 17197983. Since the mean is less than the median and mode, the data of total tests is left skewedly distributed. The standard deviation for total tests is more than the standard deviation of new tests and percentage of daily positive cases.

For New tests, Q1=19425, Q2=29684, Q3=46586 which means 25% of the new test cases lies below 19425, 50% of the new test cases lies below 29684 and 75% of the new test cases are lies below 46586. For Daily % positive, Q1=2.3, Q2=4.3, Q3=10.8, which means 25% of the percentage of daily positive cases lies below 2.3%, 50% of the percentage of daily positive cases are below 4.3% and 75% of the percentage of daily positive cases lies below 10.8%. For Total tests, Q1=13748356, Q2=17197983, Q3=21698658 which means 25% of the total test cases lies below 13748356, 50% of the total test cases lies below 17197983 and 75% of the total test cases lies below 21698658.

The IQR for New test cases is 27161. The distance between the first quartile and third quartile is equal to 27161 cases. The IQR for Daily % positive cases is 8.5. The distance between the first quartile and third quartile is equal to 8.5%. Lastly, the IQR for Total test cases is 7950302. The distance between the first quartile and third quartile is equal to 7950302 cases.

For Male Hospitalizations, the mean is 114 which indicates that the average number of active cases is 114. The median is 35 which indicates that 50% of all the data has a value less than or equal to 35. The values of mode are 23. The data is right-skewed as the value of the mean is greater than the median. The value of Q1 is 14 which indicates that 25% of all the data has a value less than or equal to 14. The value of Q3 is 177.5 which indicates that 75% of all the data has a value less than or equal to 177.5. The value of IQR is 163.5 which indicates that the range of the middle 50% of the number of recovered Covid cases is 163.5.

For Female Hospitalizations, the mean is 108 which indicates that the average number of recovered cases is 108. The median is 37 which indicates that 50% of all the data has a value less than or equal to 37. The values of mode are 2, 3, 20, 26, 48, 150, 183, 432. The value of Q1 is 11.5 which indicates that 25% of all the data has a value less than or equal to 11.5. The value of Q3 is 166.5 which indicates that 75% of all the data has a value less than or equal to 166.5. The value of IQR is 155 which indicates that the range of the middle 50% of the number of recovered Covid cases is 155.

For Total Hospitalizations, the mean is 22.75 which indicates that the average number of deceased cases is 22.75. The median is 72 which indicates that 50% of all the data has a value less than or equal to 72. The values of mode are 6, 7, 43, 49, 95, 324, 367, 891. The value of Q1 is 25 which indicates that 25% of all the data has a value less than or equal to 25. The value of Q3 is 3456.5 which indicates that 75% of all the data has a value less than or equal to 345.5. The value of IQR is 320.5 which indicates that the range of the middle 50% of the number of recovered Covid cases is 320.5.

For Unknown Sex Hospitalizations, the mean is 0.75 which indicates that the average number of recovered cases is 0.75. Both the median and mode are 0. The value of Q1 is 0. However, the value of Q3 is 1.5 which indicates that 75% of all the data has a value less than or equal to 1.5. The value of IQR is 1.5 which indicates that the range of the middle 50% of the number of recovered Covid cases is 1.5.

For probable cases, the mean is 5782.5, median is 5782.5 and mode is 60, 11505. The average number of probable cases is 5782.5. For Fatal cases, the mean is 2130, median is 2130, and mode is 7, 4253. The average number of fatal cases is 2130. For active cases, mean is 2559, median is 2559, and mode is 1115, 4003. The average number of active cases is 2559. Furthermore, the standard deviation for probable cases is more than the standard deviation of active cases and fatal cases. That is, the spread of the probable cases is more than the spread of the active cases and fatal cases. Moreover, for probable cases, Q2=5782.5 which is 50% of the probable cases lies below 5782.5. For Fatal cases, Q2=2130 which is 50% of the fatal cases are lies below 2130. Lastly, for active cases, Q2=2559 which is 50% of the active cases are lies below 2559. Without a doubt, the steep decreasing pattern (probable and active cases) indicates that if the probable cases are reported and treated, there is lesser chance of active cases followed by fatal ones.