Researchers studied how many emails a day receive the office workers of the large company. They determined that the mean number of incoming emails per day for a representative sample of 7 office workers was 108 emails. The original sample data values are: Select the most appropriate 99% bootstrap confidence interval for a population mean number of incoming emails per day for office workers of the large company and its correct interpretation.
A) The bootstrap confidence interval is .You can be 99% confident that the population mean number of incoming emails per day is between 81 and 136 emails.
B) The bootstrap confidence interval is .You can be 99% confident that the population mean number of incoming emails per day is between 93 and 122 emails.
C) The bootstrap confidence interval is .You can be 99% confident that the population mean number of incoming emails per day is between 98 and 118 emails.
D) The bootstrap confidence interval is .You can be 99% confident that the population mean number of incoming emails per day is between 89 and 126 emails.
E) The bootstrap confidence interval is .You can be 99% confident that the population mean number of incoming emails per day is between 96 and 121 emails.
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