The following observations are lifetimes (days) subsequent to diagnosis for individuals suffering from blood cancer.
116 | 182 | 255 | 418 | 442 | 461 | 517 | 739 | 744 | 789 | 808 |
865 | 924 | 983 | 1025 | 1062 | 1064 | 1165 | 1191 | 1222 | 1222 | 1251 |
1278 | 1291 | 1357 | 1369 | 1409 | 1456 | 1478 | 1519 | 1578 | 1578 | 1599 |
1603 | 1605 | 1697 | 1735 | 1799 | 1815 | 1853 | 1899 | 1925 | 1966 |
a. Calculate and interpret a confidence interval with a 99% confidence level for true average lifetime. [Hint: x = 1192.0 and s = 506.5.]
(Round your answers to one decimal place.)
(___ , ____)
Confidence Interval
Lower Limit =
Lower Limit = 983.5999
Upper Limit =
Upper Limit = 1400.4001
99% Confidence interval is ( 983.6 , 1400.4 )
We are 99% confident that the true average lifetimes (days) subsequent to diagnosis for individuals suffering from blood cancer lies in the interval ( 983.6 , 1400.4 ).
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