The 1948 and 2018 temperatures at 197 random locations across the globe were compared and the mean difference for the number of days above 90 degrees was found to be 2.9 days with a standard deviation of 17.2 days. The difference in days at each location was found by subtracting 1948 days above 90 degrees from 2018 days above 90 degrees. https://www.webassign.net/csalt/index.html#/toolset/inferential-statistics A) What is the lower limit of a 90% confidence interval for the average difference in number of days the temperature was above 90 degrees between 1948 and 2018? Rounded to Choose... nearest whole number. B) What is the upper limit of a 90% confidence interval for the average difference in number of days the temperature was above 90 degrees between 1948 and 2018? Rounded to Choose... nearest whole number. Choose... easier C) What is the margin of error for the 90% confidence -1 interval? Rounded to nearest whole number. harder D) Does the 90% confidence interval provide evidence that 6 number of 90 degree days increased globally comparing 1948 to 2018? Why? Yes, all values in confidence interval are positive E) Does the 99% confidence interval provide evidence that - N number of 90 degree days increased globally comparing 1948 to 2018? Why? No, not all values in confidence interval are positive F) If the mean difference and standard deviation stays relatively constant would decreasing the degrees of freedom make it easier or harder to conclude that there are more Choose... days above 90 degrees in 2018 versus 1948 globally. G) If the mean difference and standard deviation stays relatively constant does lowering the confidence level make it easier or harder to conclude that there are more days Choose... above 90 degrees in 2018 versus 1948 globally